MkDocs plugin for multiple choice quizzes

The simplest, fastest repository for training/finetuning medium-sized GPTs.

The best ChatGPT that $100 can buy.

♔ An Extremely Efficient Chess-board Detection for Non-trivial Photos ♔

A python library for decision tree visualization and model interpretation.

The website content for explained.ai

Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)

Advanced data augmentation with Generative Adversarial Networks for vehicle detection

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Predict chessboard FEN layouts from images using TensorFlow

Uses neural networks to extract chess positions from images

PyTorch implementations of deep reinforcement learning algorithms and environments

Simple bit flipping with sparse rewards using HER, similarly to the original paper

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

Image-to-Image Translation in PyTorch

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

[CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

Python implementation of multi scale retinex with color restoration

Learning to See in the Dark. CVPR 2018

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to…

A PyTorch Implementation of Neural IMage Assessment

NIMA: Neural IMage Assessment

Image augmentation for machine learning experiments.

PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss

pytorch structural similarity (SSIM) loss

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

Code from the MIT Intrinsic Images Dataset [1]; Including command line tool for Retinex algorithm.