Akshay Pachaar

Elite
@patchy631

ai-engineering-hub. In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

36k

machine-learning. Jupyter Notebook

1.5k

awesome-mcp-servers. A collection of MCP servers.

46

patchy631.

30

MLOps_Workshop. Jupyter Notebook

28

awesome-llm-projects.

19

RAGs. Python

18

ai-agents-for-beginners. 10 Lessons to Get Started Building AI Agents

17

crewAI. Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

13

graphiti. Build Real-Time Knowledge Graphs for AI Agents

12

open-notebook. An Open Source implementation of Notebook LM with more flexibility and features

11

ai-hedge-fund. An AI Hedge Fund Team

10

Made-With-ML. Learn how to design, develop, deploy and iterate on production-grade ML applications.

9

MLOps-AzureML. E2E CI/CD Pipeline of a machine learning project on Azure

9

awesome-mcp-clients. A collection of MCP clients.

8

github-mcp-server. GitHub's official MCP Server

8

mcp-agentic-rag. Python

7

road-extraction-service. Extraction of Roads from satellite imagery.

7

3D-supervised-seg. Python

7

tfServing-fastapi-k8s. Python

6

MLOps. Jupyter Notebook

6

pyspark-examples. Pyspark RDD, DataFrame and Dataset Examples in Python language

5

self-attention-impl. A python implementation of self-attention mechanism in transformers

5

mcp-containers. Containerized versions of hundreds of MCP servers 📡 🧠

5

langextract. A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

5

kalman-filter-localization. Jupyter Notebook

5

oumi. Everything you need to build state-of-the-art foundation models, end-to-end.

4

3D-unsupervised-seg. Python

4

camera-calibration. Jupyter Notebook

4

pygwalker. PyGWalker: Turn your dataframe into an interactive UI for visual analysis

4

ng-video-lecture. Python

4

chatterbox. SoTA open-source TTS

4

mindsdb. AI Analytics Engine that can answer questions over large scale data. - The only MCP Server you'll ever need

4

code-context. MCP plugin for semantic code search. Integrates with Claude Code, Gemini CLI, Cursor, or any AI coding agents.

3

gemini-cli. An open-source AI agent that brings the power of Gemini directly into your terminal.

3

mcp-use. mcp-use is the easiest way to interact with mcp servers with custom agents

3

CodeRabbitDemo. Python

3

deploying-machine-learning-models. Example Repo for the Udemy Course "Deployment of Machine Learning Models"

3

kafka. Python

3

slam. Python

3

anything-llm. The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

3

DeepSpeed. DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

2

graphframes. Scala

2

my-mini-torch. Python

2

detectron2. Python

2

FastAPI. Python

2

motia. Unified Backend Framework for APIs, Events, and AI Agents

2

ag-ui. AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

2

opik. Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

2

maps-meaning. Graph-based Entity Resolution [Spark+AI Summit Amsterdam 2019]

2

learning. Jupyter Notebook

2

OpenHands. 🙌 OpenHands: Code Less, Make More

1

axolotl. Go ahead and axolotl questions

1

nd-object-detection-urban-env.

1
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