Tensors and Dynamic neural networks in Python with strong GPU acceleration

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Image augmentation for machine learning experiments.

Python Implementation of Reinforcement Learning: An Introduction

Uniform Manifold Approximation and Projection

Visual analysis and diagnostic tools to facilitate machine learning model selection.

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Non-local Neural Networks for Video Classification

A framework for Privacy Preserving Machine Learning

mixup: Beyond Empirical Risk Minimization

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Sparse Blocks Networks

i-RevNet Pytorch Code

Neural networks toolbox focused on medical image analysis

Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators

Use TensorFlow efficiently

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19

A simple way to browse ImageNet classes and download some images from it.