Highlights
- Pro
Stars
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Lord of Large Language and Multi modal Systems Web User Interface
TorchCFM: a Conditional Flow Matching library
Muon is an optimizer for hidden layers in neural networks
A curated list of Diffusion Model in RL resources (continually updated)
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
A curated list of awesome model based RL resources (continually updated)
An index of algorithms for offline reinforcement learning (offline-rl)
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Code for "Learning to Model the World with Language." ICML 2024 Oral.
CHARMM and AMBER forcefields for OpenMM (with small molecule support)
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
A high-performance, GPU-accelerated library for key computational chemistry tasks, such as molecular similarity, conformer generation, and geometry relaxation.
Paper List for a new paradigm of NLP: Interactive NLP (https://arxiv.org/abs/2305.13246) 🔥
PyTorch Implementation of Diffusion Schrodinger Bridge Matching
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions"
code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
MassSpecGym: A benchmark for the discovery and identification of molecules (NeurIPS 2024 Spotlight)
A curated list of “Temporally Language Grounding” and related area
Skeleton for scalable and flexible Jax RL implementations
A framework for training energy-based diffusion models for sampling and energy estimation.
Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
Thermal and photochemical reaction path optimization and discovery