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Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
Flow Matching beyond Gaussian distributions for faster training and inference
Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo
TorchCFM: a Conditional Flow Matching library
Compilation of literature examples of generative drug design that demonstrate experimental validation
MassSpecGym: A benchmark for the discovery and identification of molecules (NeurIPS 2024 Spotlight)
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
JAX implementation of RL algorithms and vectorized environments
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Code repository complementing the Neural Computation 2022 journal paper "Unsupervised Learning of Temporal Abstractions using Slot-based Transformers"
Code for "Learning to Model the World with Language." ICML 2024 Oral.
A curated list of awesome model based RL resources (continually updated)
Code release for the paper "Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control"
Skeleton for scalable and flexible Jax RL implementations
Paper List for a new paradigm of NLP: Interactive NLP (https://arxiv.org/abs/2305.13246) 🔥
A curated list of “Temporally Language Grounding” and related area
An index of algorithms for offline reinforcement learning (offline-rl)
Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
Optimal training of a variational quantum algorithm
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
Neural-network quantum states implementation with Tensorflow 2 library