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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

glsgan

Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)

gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

gnn_few_shot_cifar100

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

gnnpapers

Must-read papers on graph neural networks (GNN)

googlenet-inception-tf

TensorFlow implementation of GoogLeNet and Inception for image classification.

heatmap

A Tool for Ploting the Heatmap Overlay Image

idnns

explore DNNs via Infomration

image-to-image-papers

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

imagecaptioning.pytorch

Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

improved_wgan_training

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

insightface

State-of-the-art 2D and 3D Face Analysis Project

ivt

See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval

joshiego

A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.

kdd_cup_2018

KDD CUP 2018

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

last

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

light-reid

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

loss-functions

My own understanding on various kinds of Loss Function

loss-landscape

Code for visualizing the loss landscape of neural nets

lsgan

This is the project for LS-GAN (Loss-Sensitive GAN)

machine_learning

机器学习算法的实现和应用

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machinelearning

Basic Machine Learning and Deep Learning

mcq

Official code for "Bridging Video-text Retrieval with Multiple Choice Questions", CVPR 2022 (Oral).