Pradeep Kumar Jayaraman

ponytail. Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

maki. An efficient AI coding agent

lm-evaluation-harness. A framework for few-shot evaluation of language models.

ntkmirror. Python

articraft. An Agentic System for Scalable Articulated 3D Asset Generation

codegraph. Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local

brepvis. Python toolkit for rendering and interactively visualizing CAD B-rep (STEP) models using Blender and Polyscope.

PyTopo3D. PyTopo3D: 3D SIMP Topology Optimization Framework for Python

Liquid. (Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators

CLI-Anything. "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/

GeometricKernels. Geometric kernels on manifolds, meshes and graphs

lab. A generic interface for linear algebra backends

Pointer-CAD. Python

dllm. dLLM: Simple Diffusion Language Modeling

flash-attention-prebuild-wheels. Provide with pre-build flash-attention 2 and 3 package wheels on Linux and Windows using GitHub Actions

number-token-loss. PyPI package for Number Token Loss (ICML 2025)

llm-council. LLM Council works together to answer your hardest questions

BR-DF. Python

toon. 🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

AutoBrep. Official codebase for the Siggraph Asia 2025 paper AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometry

potpourri3d. An invigorating blend of 3D geometry tools in Python.

NH-Rep. Official implementation for paper 'NH-Rep: Neural Halfspace Representations for Implicit Conversion of B-Rep Solids'

surfRecon. Surface Reconstruction

diso. Differentiable Iso-Surface Extraction Package (DISO)

harmony. Renderer for the harmony response format to be used with gpt-oss

mdlm. [NeurIPS 2024] Simple and Effective Masked Diffusion Language Model

WHUCAD. Python

Liger-Kernel. Efficient Triton Kernels for LLM Training

pytorch-made. MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

multi_token. Embed arbitrary modalities (images, audio, documents, etc) into large language models.

transfusion-pytorch. Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

self-operating-computer. A framework to enable a multimodal model to operate a computer.

CDT. C++

x-transformers. A concise but complete full-attention transformer with a set of promising experimental features from various papers

MLOps-Basics. Jupyter Notebook

ReinMax. Beyond Straight-Through

lama. 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

BrepGen. [SIGGRAPH 2024] Official PyTorch Implementation of "BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry".

torch2jax. Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.

MVDream. code page placeholder

mesh_to_sdf. Calculate signed distance fields for arbitrary meshes

IADB. Official implementation of IADB (Iterative α-(de)Blending: a Minimalist Deterministic Diffusion Model), published at Siggraph 2023.

datablations. Scaling Data-Constrained Language Models

taichi-nerfs. Implementations of NeRF variants based on Taichi + PyTorch

bit-diffusion. Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch

MEGABYTE-pytorch. Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch

jax3d. Python

peft. 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Efficient-3DCNNs. PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

shap-e. Generate 3D objects conditioned on text or images

vector-quantize-pytorch. Vector (and Scalar) Quantization, in Pytorch

PDFS. Parallel Distance Field Solver (PDFS)

differentiable-SDF-pytorch. Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch

large-steps-pytorch. Implementation of "Large Steps in Inverse Rendering of Geometry"

jax-windows-builder. A community supported Windows build for jax.

Awesome-CAD. 😎 A list of awesome Computer-Aided Design (CAD) papers

sokol. minimal cross-platform standalone C headers

SGConv. Jupyter Notebook

ExtrudeNet. Python

differentiable-sdf-rendering. Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)

sdf-explorer. This is accompanying code for our JCGT / I3D paper, "A Dataset and Explorer for 3D Signed Distance Functions (SDF)".

neural-implicit-queries. Queries on neural implicit surfaces via range analysis: ray casting, intersection, closest point, & more. SIGGRAPH 2022 paper. JAX implementation.

ComplexGen. Code for SIGGRAPH 2022 paper: ComplexGen: CAD Reconstruction by B-Rep Chain Complex Generation

AdaCat. AdaCat

engine_web-ifc. Reading and writing IFC files with Javascript, at native speeds.

Neon. Multi-GPU Framework for Voxel Grid Computations

GPU-Puzzles. Solve puzzles. Learn CUDA.

BlenderToolbox. Some simple Blender scripts for rendering paper figures

ntopo. A Mesh-free Topology Optimization Method using Neural Representations

Clip-Forge. Python

JoinABLe. JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

vit-pytorch. Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

taco. The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

warp. A Python framework for GPU-accelerated simulation, robotics, and machine learning.

functorch. functorch is JAX-like composable function transforms for PyTorch.

diffrax. Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

DiligentSamples. Sample projects demonstrating the usage of Diligent Engine

instant-ngp. Instant neural graphics primitives: lightning fast NeRF and more

GRaNDPapA. Generator of Rad Names from Decent Paper Acronyms

ImGuiFileDialog. Full featured file Dialog for Dear ImGui

circle. The compiler is available for download. Get it!

RayTracedShadows. This demo implements BVH construction and GPU traversal for rendering hard shadows.

FrameGraph. vulkan abstraction layer that represent frame as a task graph

RayTracingInTheFragmentShaderGLSL. RayTracing In The Fragment Shader (OpenGL / GLSL)

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

BRepNet. BRepNet: A topological message passing system for solid models

MinkowskiEngine. Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Mosaic. Simple greedy image packing

PyRenderer. 3D Geometry Renderer for Python

Fusion360GalleryDataset. Data, tools, and documentation of the Fusion 360 Gallery Dataset

deepmind-research. This repository contains implementations and illustrative code to accompany DeepMind publications

cnpy. library to read/write .npy and .npz files in C/C++

freetype-py. Python binding for the freetype library

voxel-cone-tracing. A real-time global illumination implementation using voxel cone tracing. Implemented in C++ and GLSL.

black. The uncompromising Python code formatter

autodiff. automatic differentiation made easier for C++

fmtlatex. Reformat LaTeX documents suitable for version control

cuda-samples. Samples for CUDA Developers which demonstrates features in CUDA Toolkit

GettingStartedWithRTXRayTracing. Getting Started with RTX Ray Tracing

magic_enum. Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code

units. a compile-time, header-only, dimensional analysis and unit conversion library built on c++14 with no dependencies.

kaolin. A PyTorch Library for Accelerating 3D Deep Learning Research

slang. Making it easier to work with shaders

ToyPathTracer. Toy path tracer for my own learning purposes (CPU/GPU, C++/C#, Win/Mac/Wasm, DX11/Metal, also Unity)

v. Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io

s2cnn. Spherical CNNs

Generalized-Distance-Transform. Implementation of "Distance Transforms of Sampled Functions" for matrices of arbitrary dimensions

globjects. C++ library strictly wrapping OpenGL objects.

fieldplay. A vector field explorer

taichi. Productive, portable, and performant GPU programming in Python.

cuda-api-wrappers. Thin, unified, C++-flavored wrappers for the CUDA APIs

spgrid_topo_opt. Narrow-Band Topology Optimization on a Sparsely Populated Grid, ACM Transactions on Graphics (SIGGRAPH Asia 2018)

enoki. Enoki: structured vectorization and differentiation on modern processor architectures

latent_3d_points. Auto-encoding & Generating 3D Point-Clouds.

trimesh. Python library for loading and using triangular meshes.

Scotty3D. 3D graphics software for mesh editing, path tracing, and animation

taichi_mpm. High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)

pointnet-autoencoder. Autoencoder for Point Clouds

polyscope. A C++ & Python viewer for 3D data like meshes and point clouds

meshoptimizer. Mesh optimization library that makes meshes smaller and faster to render

spectra. A header-only C++ library for large scale eigenvalue problems

cmake-examples. Useful CMake Examples

cxxopts. Lightweight C++ command line option parser

terminal. The new Windows Terminal and the original Windows console host, all in the same place!

CFDPython. A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

SPTAG. A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

gym. A toolkit for developing and comparing reinforcement learning algorithms.

abc-dataset. ABC: A Big CAD Model Dataset For Geometric Deep Learning

3D-Machine-Learning. A resource repository for 3D machine learning

gismo. G+Smo (pronounced gismo or gizmo) is a C++ library for isogeometric analysis (IGA). Geometry plus simulation modules aims at the seamless integration of Computer-aided Design (CAD) and Finite Element Analysis (FEA).

light-matrix. A Light-weight and Fast Template Matrix Library

learn_math_fast. This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

PoissonRecon. Poisson Surface Reconstruction

paper-tips-and-tricks. Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

lie_learn. Computations involving Lie groups and harmonic analysis

AdaBound. An optimizer that trains as fast as Adam and as good as SGD.

bayesian-neural-network-blogpost. Building a Bayesian deep learning classifier

ssn_superpixels. Superpixel Sampling Networks (ECCV2018)

MCCNN. Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

OpenGL-Renderer. Modern OpenGL renderer written in C++17

NN-SVG. Publication-ready NN-architecture schematics.

canadian-ai-companies. A list of AI companies in Canada

LearnOpenGL. Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com

pytorch-examples. Simple examples to introduce PyTorch

pytorch_geometric. Graph Neural Network Library for PyTorch

geomapnet. Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

NomadECS. NomadECS - An entity component system implementation

meson. The Meson Build System

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

geometry-central. Applied 3D geometry in C++, with a focus on surface meshes.

PolyFit. Polygonal Surface Reconstruction from Point Clouds (C++ & Python)

OpenGL. OpenGL 3 and 4 examples using GLSL

cinolib. A generic programming header only C++ library for processing polygonal and polyhedral meshes

Catch2. A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

L0-gradient-smoothing. A C++ implementation of "Image Smoothing via L0 Gradient Minimization"

c2compiler. the c2 programming language

nanosvg. Simple stupid SVG parser

capsnet-traffic-sign-classifier. A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

pyinn. CuPy fused PyTorch neural networks ops

geometry-processing-js. A fast, general-purpose framework for geometry processing on the web.

hugo. The world’s fastest framework for building websites.

gg. Go Graphics - 2D rendering in Go with a simple API.

glm. OpenGL Mathematics (GLM)

pt. A path tracer written in Go.

xtensor. C++ tensors with broadcasting and lazy computing

libboard. A vector graphics C++ library to produce EPS, SVG, and FIG files.

tiny-dnn. header only, dependency-free deep learning framework in C++14

asymptote. 2D & 3D TeX-Aware Vector Graphics Language

ImGuizmo. Immediate mode 3D gizmo for scene editing and other controls based on Dear Imgui

geometry3Sharp. C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.

nuklear. This project provides Go bindings for nuklear.h — a small ANSI C GUI library.

imgui. Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

PythonVerbalExpressions. Python regular expressions made easy

meshlab. The open source mesh processing system

lime. lime (Library for Image Editing)

CppNumericalSolvers. The fastest open-source C++17 optimization library for unconstrained nonlinear problems. Header-only, single dependency. Highest reliability, composable function expressions, unconstrained and constrained solvers.

premake-core. Premake

kit. 🧱 Describe your site, AI builds it, you own it as Markdown. Snap together Tailwind blocks like Lego — landing pages, blogs, portfolios, docs & more. No AI slop. Free to deploy anywhere 👇

nanogui. Minimalistic GUI library for OpenGL

matrix. Matrix packages for the Go language [DEPRECATED]

nanogui-go. Go

nanovg. Antialiased 2D vector drawing library on top of OpenGL for UI and visualizations.

matplotlib-cpp. Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

fmt. A modern formatting library

nana. a modern C++ GUI library

CImg. The CImg Library is a small and open-source C++ toolkit for image processing

go-thrust. Cross Platform UI Kit powered by Blink/V8/Chromium Content Lib

DGtal. Digital Geometry Tools and Algorithm Library

lib2geom. Mirror of lib2geom - easy to use 2D geometry library in C++

go. The Go programming language

vispy. Main repository for Vispy

vpaint. Experimental vector graphics and 2D animation editor

course. Source code for the applications presented in the course "Geometry Processing with Discrete Exterior Calculus"