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Clean, minimal, accessible reproduction of DeepSeek R1-Zero
The RedStone repository includes code for preparing extensive datasets used in training large language models.
LAMMPS tutorials for both beginners and advanced users: the article
A generative world for general-purpose robotics & embodied AI learning.
Alpaca Trading API integrated with backtrader
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lig…
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
A NOMAD plugin containing base sections for simulations.
NOMAD lets you manage and share your materials science data in a way that makes it truly useful to you, your group, and the community.
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
TORAX: Tokamak transport simulation in JAX
Public development project of the LAMMPS MD software package
Open source Altium Database Library with over 200,000 high quality components and full 3d models.
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
Python toolkit for quantitative finance
AuraSR: GAN-based Super-Resolution for real-world
Training and evaluating machine learning models for atomistic systems.
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry lead…
A scalable pipeline for designing reconfigurable organisms
CoreNet: A library for training deep neural networks
Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Python Backtesting library for trading strategies
