mattfeng
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LLM benchmark: Generate an SVG of a pelican riding a bicycle
Official repository for the Boltz-1 biomolecular interaction model
Python Implementation of Reinforcement Learning: An Introduction
Solve puzzles. Improve your pytorch.
Classical equations and diagrams in machine learning
This is a list of links to different freely available learning resources about computer programming, math, and science.
Advanced Python Mastery (course by @dabeaz)
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
wxMacMolPlt is a graphical user interface principally for the GAMESS program
Simple transformer implementation from scratch in pytorch.
Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
Taking Bio Sensors Out Of The Lab. Modular , low-cost,
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Must-read papers on graph neural networks (GNN)
Ten great papers for wet lab biologists starting out in computational biology
Open source code for AlphaFold 2.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Dream to Control: Learning Behaviors by Latent Imagination
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Practical introduction to Prometheus for developers.