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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-active-learning

A curated list of awesome Active Learning

cyclegan-1

Tensorflow implementation of CycleGANs

dida

Disentangled Synthesis for Domain Adaptation

diffusionclip

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

drit

Learning diverse image-to-image translation from unpaired data

dual-reference-aging

dual-reference-aging-master

face-aging

homework

computer vision UW-CSE576

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

jigendg

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

latentgnn-v1-pytorch

Implementation of “LatentGNN: Learning Efficient Non-local Relations for Visual Recognition”(ICML 2019)

leetcode-algorithm

分类整理leetcode算法题解，代码语言采用c++与python实现

machinelearninglecturenotes

张志华机器学习导论MOOC讲义

metrics

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

metrics_generative

metrics for generative models (fid, inception)

ml_notes

机器学习算法的公式推导以及numpy实现

mmd-gan

Training MMD GANs.

neural-photo-editor

A simple interface for editing natural photos with generative neural networks.

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

perceptual_metric

Three preceptual metrics, including vgg distance, inception score and FID score

pix2pix

Image-to-image translation with conditional adversarial nets

psc2

code used for collaborative musical improvisation with ML models

pytorch-domain-adaptation

Unofficial pytorch implementation of algorithms for domain adaptation

rain-rendering

Rain Rendering for Evaluating and Improving Robustness to Bad Weather (Tremblay et al., 2020) (S. S. Halder et al., 2019)

segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

virtualtoreal-rl

BMVC 2017: Virtual to Real Reinforcement Learning for Autonomous Driving

wae

Wasserstein Auto-Encoders

wasserstein-gan-on-mnist

This is a simple Chainer implementation of the Wasserstein GAN on MNIST digits.