An Embedding and Mapping framework for Cross-Domain Recommendation.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.

算法理论基础知识应知应会

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

color recognition (convolutional neural network implemented in Keras)

Fast & Simple Resource-Constrained Learning of Deep Network Structure

A curated list of neural network pruning resources.

A novel data representation supports flexible approximate query of large-scale tabular datasets

My personal ACM repository

A Keras implementation of YOLOv3

我的一些面试心得；自学CS历程分享；找工作求职经验分享

10th place solution of the Jigsaw Unintended Bias in Toxicity Classification

CME Arrival Time Prediction Using Machine learning Algorithms

winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

A Fast Muti-processing BERT-Inference System

Single Shot MultiBox Detector in TensorFlow

Convolutional Neural Networks

A PyTorch implementation of the YOLO v3 object detection algorithm

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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

An implementment of AlexNet with TensorFlow