Models and examples built with TensorFlow

A code-completion engine for Vim

Image-to-Image Translation in PyTorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Code samples for my book "Neural Networks and Deep Learning"

Image augmentation for machine learning experiments.

Python Implementation of Reinforcement Learning: An Introduction

pix2code: Generating Code from a Graphical User Interface Screenshot

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

NumPy & SciPy for GPU

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Infinite Photorealistic Worlds using Procedural Generation

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Deep Convolutional Generative Adversarial Networks

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Image Deblurring using Generative Adversarial Networks

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Code for the paper "Improved Techniques for Training GANs"

Pre-trained word vectors of 30+ languages

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Train AI models efficiently on medical images using any framework

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

Composable GAN framework with api and user interface