real time face swap and one-click video deepfake with only a single image

Core Interface and Engine for Vivarium

A collection of models for simulating cells with Vivarium.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

AutoML tools chain

Data augmentation for NLP

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranul…

Lenia - Mathematical Life Forms

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.

NAS-Bench-201 API and Instruction

GeneTech is a genetic design automation tool for the synthesis and optimization of genetic logic circuits.

D-VASim (Dynamic Virtual Analyzer and Simulator) is a simulation and analysis tool for genetic logic circuit models (SBML).

Genetic circuit design automation

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Learning about and doing projects with recurrent neural networks

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

PDNET: A fully open-source framework for deep learning protein real-valued distances

Modelling the Language of Life - Deep Learning Protein Sequences

MMseqs2: ultra fast and sensitive search and clustering suite

A collection of important graph embedding, classification and representation learning papers with implementations.

Listing of papers about machine learning for proteins.

Standardized data set for machine learning of protein structure

We are building an open database of COVID-19 cases with chest X-ray or CT images.