nitrogenase's Stars
searphsea/COLORS
Protein contacts prediction
mrahtz/easy-tf-log
Easy TensorFlow logging for quick prototypes
debbiemarkslab/persistent-vi
Variational Bayes for discrete undirected models
biolib/openprotein
A PyTorch framework for prediction of tertiary protein structure
cxhernandez/molencoder
Molecular AutoEncoder in PyTorch
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
tensorflow/models
Models and examples built with TensorFlow
google-deepmind/neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
johnbarton/ACE
Fast and flexible code for solving the inverse Ising/Potts inference problem
ma1co/OpenMemories-Tweak
Unlock your Sony camera's settings
kyle-dorman/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
mrcoles/full-page-screen-capture-chrome-extension
One-click full page screen captures in Google Chrome
LucaAngioloni/ProteinSecondaryStructure-CNN
Protein Secondary Structure predictor using Convolutional Neural Networks
psipred/protein-vae
Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
jeremykawahara/ann4brains
Artificial neural networks for brain networks
nteract/nteract
📘 The interactive computing suite for you! ✨
lamoureux-lab/3DCNN_MQA
Deep convolutional networks for fold recognition
lamoureux-lab/TorchProteinLibrary
PyTorch library of layers acting on protein representations
alexgkendall/thesis
Source Code for Alex Kendall's PhD Thesis
mjschnie/ffx
Force Field X development has moved to the SchniedersLab area of GitHub.
mwouts/jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
minqi/learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
openmm/openmm
OpenMM is a toolkit for molecular simulation using high performance GPU code.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
facebookresearch/LASER
Language-Agnostic SEntence Representations
tensorflow/tensorboard
TensorFlow's Visualization Toolkit
tensorflow/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
FunctionLab/selene
a framework for training sequence-level deep learning networks
FunctionLab/ExPecto
predicting expression effects of human genome variants ab initio from sequence