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Democratizing Reinforcement Learning for LLMs
Witness the aha moment of VLM with less than $3.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Tips for Writing a Research Paper using LaTeX
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Development repository for the Triton language and compiler
The lazier way to manage everything docker
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Massively parallel rigidbody physics simulation on accelerator hardware.
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Playing Pokemon Red with Reinforcement Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Master programming by recreating your favorite technologies from scratch.
Train transformer language models with reinforcement learning.
📚200+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.