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11 Lessons to Get Started Building AI Agents
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
🤗 smolagents: a barebones library for agents that think in code.
Development repository for the Triton language and compiler
A collection of resources on modern C++
learning resource of langgraph for dummy
Fully open reproduction of DeepSeek-R1
An Online Deep Learning Interface for HPC programs on NVIDIA GPUs
Lightning fast C++/CUDA neural network framework
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorR…
Desktop app for prototyping and debugging LangGraph applications locally.
This is example code for a LangGraph solution that uses a custom made toolkit.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.
LangGraph template for a simple ReAct agent
Build resilient language agents as graphs.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow