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gollm. Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
★ 671raggo. A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
★ 220retrain. a Python library that uses Reinforcement Learning (RL) to train LLMs.
★ 43hapax. The reliability layer between your code and LLM providers.
★ 24jiki. Python
★ 17enzu-go. A framework for building multi-agent AI systems. Enables LLMs to collaborate through hierarchical organization, parallel task execution, and extensible tools.
★ 16textpolicy. Reinforcement learning for text generation on MLX (Apple Silicon)
★ 14gofh. GoFastHTML
★ 7materl. Python
★ 3inferencemax.
★ 3operatio. Mojo
★ 3enzu. Budgeted LLM runs with hard caps + typed outcomes + async job mode. Python/CLI/HTTP. OpenAI-compatible.
★ 3kushim. eval creator
★ 2ordeal. Automated chaos testing for Python — fault injection, property assertions, and stateful exploration
★ 2convector. Tool to unify conversational datasets.
★ 1xyz. JavaScript
★ 1hapax-py. A type-safe graph execution framework built on top of OpenLit for LLM pipelines
★ 1edgerunner. kelly criterion web apps
★ 1immorteilo. Python
★ 1deltavar. https://arxiv.org/pdf/2502.14698
★ 1mentors. Text JSONL dataset visualiser and modifier.
★ 1mime. journey taker
★ 1homebrew-mime. Homebrew tap for Mime - a distraction-free note-taking app
★ 1vauban. MLX-native toolkit for understanding and reshaping how language models behave on Apple Silicon
★ 1kromcanon. Steering vectors in non-standard transformer architectures (Canon + KromHC)
★ 1weztrunk. WezTerm + Worktrunk + code-agent glue for fast worktree switching
★ 1OScaR-KV-Quant. 🏆 OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond — redefining the accuracy-efficiency Pareto front for X-LLMs KV quantization.
★ 138reap. REAP: Router-weighted Expert Activation Pruning for SMoE compression
★ 443code. Noumena's internal version of your favorite coding tui but improved and optimized for our inference stack
★ 133RapidRAW. A beautiful, non-destructive, and GPU-accelerated RAW image editor built with performance in mind.
★ 8.8kPawBench. A benchmark for evaluating LLM × harness performance.
★ 88lathe. Generate hands-on, multi-part technical tutorials on demand, with LLM skills tuned to make content approachable. Then you work through them yourself, by hand ✋
★ 1.6ktracer. TRACER: replace 90%+ of your LLM classification calls with a traditional ML model. Formal parity guarantees. Self-improving.
★ 1koptimum-executorch. 🤗 Optimum ExecuTorch
★ 130executorch. On-device AI across mobile, embedded and edge for PyTorch
★ 4.8kcausalab. Python
★ 101OpenShell. OpenShell is the safe, private runtime for autonomous AI agents.
★ 7.6krlix. Run more RL experiments. Wait less for GPUs.
★ 288gym-anything. Gym-Anything: Turn any Software into an Agent Environment
★ 257ordeal. Automated chaos testing for Python — fault injection, property assertions, and stateful exploration
★ 2immorteilo. Python
★ 1deltavar. https://arxiv.org/pdf/2502.14698
★ 1edgerunner. kelly criterion web apps
★ 1homebrew-mime. Homebrew tap for Mime - a distraction-free note-taking app
★ 1mime. journey taker
★ 1kromcanon. Steering vectors in non-standard transformer architectures (Canon + KromHC)
★ 1xyz. JavaScript
★ 1vauban. MLX-native toolkit for understanding and reshaping how language models behave on Apple Silicon
★ 1AReaL. The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
★ 5.5kmonty. A minimal, secure Python interpreter written in Rust for use by AI
★ 7.9kblack-box-query-bench. Python
★ 1enzu. Budgeted LLM runs with hard caps + typed outcomes + async job mode. Python/CLI/HTTP. OpenAI-compatible.
★ 3amla-sandbox. Python
★ 342mini-sglang. A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
★ 4.5kPhysicsLM4. Physics of Language Models: Part 4.2, Canon Layers at Scale where Synthetic Pretraining Resonates in Reality
★ 355gepa. Optimize prompts, code, and more with AI-powered Reflective Text Evolution
★ 5.6kthunnini. Experimentation library for comparing fine-tuners for neural sequential predictors.
★ 9EmberJson. A user friendly json library written in pure Mojo
★ 59nabla. Nabla: High-Performance Scientific Computing
★ 343tunix. A Lightweight LLM Post-Training Library
★ 2.4ktinyworlds. A minimal implementation of DeepMind's Genie world model
★ 1.3ktinker-cookbook. Post-training with Tinker
★ 3.6ktinker. Training API and CLI
★ 540catgrad. a categorical deep learning compiler
★ 209LaTeX-graphics-with-TikZ. LaTeX graphics with TikZ, by Packt Publishing
★ 206RelationalThinking-Book. TeX
★ 17open-game-engine. Haskell implementation of open games
★ 192RelationalThinking-code. This repository contains all the code presented in the online book "Relational Thinking - from Abstractions to Applications".
★ 5paperproof. Lean theorem proving interface which feels like pen-and-paper proofs.
★ 533textpolicy. Reinforcement learning for text generation on MLX (Apple Silicon)
★ 14embedding-atlas. Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
★ 4.9kexo. Run frontier AI locally.
★ 46kagent-lightning. The absolute trainer to light up AI agents.
★ 17kMinigrid. Simple and easily configurable grid world environments for reinforcement learning
★ 2.5kopenbench. Provider-agnostic, open-source evaluation infrastructure for language models
★ 784gem. A Gym for Agentic LLMs
★ 501dreamerv3. Mastering Diverse Domains through World Models
★ 3.5kWorld-Model. [ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
★ 789UnstableBaselines. Python
★ 120ml-aspera. Data generation engine, sandbox environment and evaluation tools accompanying "ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution".
★ 9Awesome-RL-for-LRMs. A Survey of Reinforcement Learning for Large Reasoning Models
★ 2.5kmlx. MLX: An array framework for Apple silicon
★ 28kAutomodel. 🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
★ 699vllm. A high-throughput and memory-efficient inference and serving engine for LLMs
★ 86ksglang. SGLang is a high-performance serving framework for large language models and multimodal models.
★ 30kTensorRT-LLM. TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
★ 14kslime. slime is an LLM post-training framework for RL Scaling.
★ 7.4kEasyR1. EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
★ 5.1kRLVR-World. Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934
★ 267lmms-eval. One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
★ 4.3kAwesome-ML-SYS-Tutorial. My learning notes for ML SYS.
★ 6.7kzed-mojo. Mojo support for Zed
★ 34materl. Python
★ 3aira-dojo. AIRA-dojo: a framework for developing and evaluating AI research agents
★ 154mamba. Mamba SSM architecture
★ 19kczkawka. Multi functional app to find duplicates, empty folders, similar images etc.
★ 32kmbridge. Bridge Megatron-Core to Hugging Face/Reinforcement Learning
★ 226kushim. eval creator
★ 2flash-linear-attention. 🚀 Efficient implementations for emerging model architectures
★ 5.3ktext-to-lora. Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input
★ 1.3kROLL. An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
★ 3.3khorizon-reduction. The official implementation of "Horizon Reduction Makes RL Scalable"
★ 199ChatLearn. A flexible and efficient training framework for large-scale alignment tasks
★ 452MARTI. A Framework for LLM-based Multi-Agent Reinforced Training and Inference
★ 537modular. The Modular Platform (includes MAX & Mojo)
★ 27kpi-quant. SIMD quantization kernels
★ 93verl-agent. verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
★ 2.1ktrl. Train transformer language models with reinforcement learning.
★ 19kverdict. Inference-time scaling for LLMs-as-a-judge.
★ 345inferx. InferX: Inference as a Service Platform
★ 229RL. Scalable toolkit for efficient model reinforcement
★ 1.8kretrain. a Python library that uses Reinforcement Learning (RL) to train LLMs.
★ 43gg-bench. Measuring General Intelligence With Generated Games (Preprint)
★ 25SkyRL. SkyRL: A Modular Full-stack RL Library for LLMs
★ 2.1kLlamaFactory. Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
★ 73karbor. A framework for optimizing DSPy programs with RL
★ 340ReTool. Python
★ 380evorl. EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.
★ 341awesome-RecSys. A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
★ 1.5kGRPO-Zero. Implementing DeepSeek R1's GRPO algorithm from scratch
★ 1.9kcherry-studio. AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
★ 48kOpenHands. 🙌 OpenHands: AI-Driven Development
★ 80kjiki. Python
★ 17A2A. Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
★ 25kember. Python
★ 240griffe. Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API.
★ 667mkdocs-material. Documentation that simply works
★ 27kRAGEN. RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
★ 2.7klance. Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
★ 6.8ktextbook-to-rl. Python
★ 29ReCall. ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
★ 1.4kverifiers. Our library for RL environments + evals
★ 4.3kverl. verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
★ 22kskrl. Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
★ 1.1kpyreft. Stanford NLP Python library for Representation Finetuning (ReFT)
★ 1.6kHEXA-MoE. Official code for the paper "HEXA-MoE: Efficient and Heterogeneous-Aware MoE Acceleration with Zero Computation Redundancy"
★ 15pytype. A static type analyzer for Python code
★ 5khapax-py. A type-safe graph execution framework built on top of OpenLit for LLM pipelines
★ 1AI_Diplomacy. Frontier Models playing the board game Diplomacy.
★ 680klarity. See Through Your Models
★ 401parlant. Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
★ 18kswag. Automatically generate RESTful API documentation with Swagger 2.0 for Go.
★ 13kbeszel. Lightweight server monitoring with historical data, docker stats, and alerts.
★ 23kquic-go. A production-ready QUIC implementation in pure Go
★ 12khapax. The reliability layer between your code and LLM providers.
★ 24fire. A lightweight, agent-style framework for fact-checking atomic claims using iterative retrieval and verification. Reduces LLM and search cost while maintaining strong factuality performance.
★ 19ghq. Remote repository management made easy
★ 3.7kfreeze. Generate images of code and terminal output 📸
★ 4.7kdeepflow. eBPF Observability - Distributed Tracing and Profiling
★ 4.2ksuperfile. Pretty fancy and modern terminal file manager
★ 19kraggo. A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
★ 220enzu-go. A framework for building multi-agent AI systems. Enables LLMs to collaborate through hierarchical organization, parallel task execution, and extensible tools.
★ 16goship. Opinionated Go + HTMX framework for shipping production apps fast ⛵️
★ 455UniversalBackrooms. A replication of Andy Ayrey's "Backrooms" (https://dreams-of-an-electric-mind.webflow.io/), but runnable with Opus 3, Sonnet 3.5, GPT 4o, and o1-preview
★ 117gobot. Golang framework for robotics, drones, and the Internet of Things (IoT)
★ 9.4kAwesome-Out-Of-Distribution-Detection. Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
★ 1kbridget. Bridget is a minimal Hugo theme for photographers/visual artists, powered by SolidJS.
★ 190operatio. Mojo
★ 3inferencemax.
★ 3Localize-and-Stitch. Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
★ 32hyperobject. Plotting (entropy, varentropy) for small LMs
★ 99swarm. Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
★ 22kgosql. A SQL query engine in Go
★ 154dicedb. Open-source, low-latency key/value engine built on Valkey with query subscriptions and hierarchical storage tiers.
★ 11kzep. Zep | Examples, Integrations, & More
★ 4.7kgofr. An opinionated GoLang framework for accelerated microservice development. Built in support for databases and observability.
★ 21ksioyek. Sioyek is a PDF viewer with a focus on textbooks and research papers
★ 9.7kentropix. Entropy Based Sampling and Parallel CoT Decoding
★ 3.4koscar. [mirror] Open source contributor agent architecture repo.
★ 225antislop-sampler. Python
★ 348SLOP_Detector. SLOP Detector and analyzer based on dictionary for shareGPT JSON and text
★ 101parler-tts. Inference and training library for high-quality TTS models.
★ 5.6kfaster-whisper. Faster Whisper transcription with CTranslate2
★ 24ktextual. The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
★ 37kmesop. Rapidly build AI apps in Python
★ 6.6kGPU-Puzzles. Solve puzzles. Learn CUDA.
★ 12kmatmulfreellm. Implementation for MatMul-free LM.
★ 3.1kevennia. Python MUD/MUX/MUSH/MU* development system
★ 2.1kzipnn. A Lossless Compression Library for AI pipelines
★ 321mojo-learning. 📖 Learn some mojo !
★ 135WildBench. Benchmarking LLMs with Challenging Tasks from Real Users
★ 255harbor. Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
★ 3.1kMisguidedAttention. A collection of prompts to challenge the reasoning abilities of large language models in presence of misguiding information
★ 480klmbr. klmbr - a prompt pre-processing technique to break through the barrier of entropy while generating text with LLMs
★ 89Awesome-Interpretability-in-Large-Language-Models. This repository collects all relevant resources about interpretability in LLMs
★ 402zml. Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
★ 3.8kgjson. Get JSON values quickly - JSON parser for Go
★ 16kg1. g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
★ 4.2kMulti-Agents-Debate. MAD: The first work to explore Multi-Agent Debate with Large Language Models :D
★ 597colly. Elegant Scraper and Crawler Framework for Golang
★ 25kgo. A high-performance 100% compatible drop-in replacement of "encoding/json"
★ 14kair. ☁️ Live reload for Go apps
★ 24kflatbuffers. FlatBuffers: Memory Efficient Serialization Library
★ 26kgood-ui. My summary of the book "Refactoring UI" by Steve Schoger and Adam Wathan
★ 231SuperPrompt. SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
★ 6.4kpdfcpu. PDF tooling for Go and the command line.
★ 8.7kyousim. they've simulated websites, worlds, and imaginary CLIs... but what if they simulated *you*?
★ 136avante.nvim. Use your Neovim like using Cursor AI IDE!
★ 18kopen-resume. OpenResume is a powerful open-source resume builder and resume parser. https://open-resume.com/
★ 8.7ksemantic-grep. grep for words with similar meaning to the query
★ 1.2kchromem-go. Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
★ 1kgeziyor. Geziyor, blazing fast web crawling & scraping framework for Go. Supports JS rendering.
★ 2.8kform. Easily create HTML forms with Go structs.
★ 401gofh. GoFastHTML
★ 7Trace. End-to-end Generative Optimization for AI Agents
★ 747pocketbase. Open Source realtime backend in 1 file
★ 60kcyclops. Developer Friendly Kubernetes 👁️
★ 3.3kgonb. GoNB, a Go Notebook Kernel for Jupyter
★ 1kjsonschema. Generate JSON Schemas from Go types
★ 941env. A simple, zero-dependencies library to parse environment variables into structs
★ 6.3klinkedin-jobs-scraper. TypeScript
★ 178goth. Package goth provides a simple, clean, and idiomatic way to write authentication packages for Go web applications.
★ 6.6kgollm. Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
★ 671cascade. Kubernetes native Chaos Engineering Toolkit | Reimplemented Netflix's Chaos Monkey
★ 7daytona. Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
★ 72kmicroservices-demo. Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
★ 21kgarak. the LLM vulnerability scanner
★ 8.4kPython. All Algorithms implemented in Python
★ 223ksystem-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
★ 357ksemantic-router. Superfast AI decision making and intelligent processing of multi-modal data.
★ 3.7kscreenshot-to-code. Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
★ 73ktaipy. Turns Data and AI algorithms into production-ready web applications in no time.
★ 19kAgentForge. Extensible AGI Framework
★ 826autogen. A programming framework for agentic AI
★ 60kAdala. Adala: Autonomous DAta (Labeling) Agent framework
★ 1.6kawesomeMLSys. An ML Systems Onboarding list
★ 1.1k