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acme

A library of reinforcement learning components and agents

act

Computational synthetic biology: Predicting DNA edits for bioengineering

advanced-cg-high-resolution-sparse-voxel-dags

Paper presentation

adversarial-continual-learning

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

ai2thor

An open-source platform for Visual AI.

allenact

An open source framework for research in Embodied-AI from AI2.

allennlp

An open-source NLP research library, built on PyTorch.

amrex

AMReX: Software Framework for Block Structured AMR

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

automl_survey

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-mpc

A curated list of multi party computation resources and links.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

c3dpo_nrsfm

C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.

clevr-iep

Inferring and Executing Programs for Visual Reasoning

compacthash

A compact hash algorithm for CPUs and GPUs using OpenCL

corefnmn

Visual Coreference Resolution in Visual Dialog using Neural Module Networks

crypten

A framework for Privacy Preserving Machine Learning

cyphercat

Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.

deep-neuroevolution

Deep Neuroevolution

deep-verify

deepfigures-open

Companion code to the paper "Extracting Scientific Figures with Distantly Supervised Neural Networks" 🤖

deepfocus

DeepFocus: Learned Image Synthesis for Computational Displays

deepfovea

Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepxde

Deep learning library for solving differential equations and more

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

differential-privacy

Google's differential privacy library.