Lists (3)
Stars
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A Toolkit for Single Cell Spatiotemporal Dynamical Generative Modeling
This is the alpha version of the CellOracle package
Official pytorch implementation for paper "Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling" (NeurIPS 2025)
Official implementation of Metric Flow Matching (NeurIPS 2024)
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
A differentiable PDE solving framework for machine learning
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
A repo to document my progress on learning 3d vision topics
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
A complete computer science study plan to become a software engineer.
PDEBench: An Extensive Benchmark for Scientific Machine Learning
An autonomous agent that conducts deep research on any data using any LLM providers
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
An elegant PyTorch deep reinforcement learning library.
PyTorch implementations of deep reinforcement learning algorithms and environments
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Master the command line, in one page
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A curated list of awesome Machine Learning frameworks, libraries and software.