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This repository contains implementations and illustrative code to accompany DeepMind publications
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Geometric Deep Learning bachelor thesis project and notes
MotoGP Api: Library that reads the results of the MotoGP, 500cc, Moto2 and Moto3 classes from a website.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Google Research
An open-source Python framework for hybrid quantum-classical machine learning.
Enabling PyTorch on XLA Devices (e.g. Google TPU)
PyRobot: An Open Source Robotics Research Platform
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Flax is a neural network library for JAX that is designed for flexibility.
Fast and Easy Infinite Neural Networks in Python
PredictionIO, a machine learning server for developers and ML engineers.
PRML algorithms implemented in Python
Software system aimed at visual inspection of motorcycle connecting rods
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR…
Image Deblurring using Generative Adversarial Networks
Deep Multi-scale CNN for Dynamic Scene Deblurring
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
TensorFlow-based neural network library
The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
Production-Grade Container Scheduling and Management