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alphamissense

articles_repro

#Reproducing results from scientific articles

autokeras

accessible AutoML for deep learning.

awesome-deep-learning-papers

The most cited deep learning papers

bayesian-methods-for-ml

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

cc-by-nc-sa-4.0

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

course-v3

The 3rd edition of course.fast.ai

coursera-intro-to-dl

Resources for "Introduction to Deep Learning" course.

data_science_specialization_johnshopkins

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasharing

The Leek group guide to data sharing

deconfounder_tutorial

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

efficientnet-pytorch

A PyTorch Implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

eve

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

evescape

Official repository for the paper "Learning from pre-pandemic data to forecast viral antibody escape"

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

grammarvae

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

graph_nets

Build Graph Nets in Tensorflow

kaggletils

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lectures

repository with the lectures for MLSS Skoltech

license

OONI License

mlss2019_tutorials-1

molecule-chef

Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)

mp-v-diffusion-images512x512

v objective diffusion inference code for PyTorch.

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

neurips-2019-papers-by-category

mo papers mo problems