Andrew-Zhu

Andrew-Zhu's Stars

• dair-ai/ml-visuals

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

  13.5k117491.4k

• XiaoMi/mace

  MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

  Language:C++4.9k229677817

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.2k166211.2k

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4k54268706

• handong1587/handong1587.github.io

  Language:CSS3.1k35510992

• he-y/Awesome-Pruning

  A curated list of neural network pruning resources.

  2.4k8728330

• sail-sg/poolformer

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

  Language:Python1.3k2249116

• peiyunh/tiny

  Tiny Face Detector, CVPR 2017

  Language:MATLAB1.1k7891320

• ruotianluo/self-critical.pytorch

  Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

  Language:Python99620279279

• huawei-noah/VanillaNet

  Language:Python812124056

• huawei-noah/Pretrained-IPT

  Language:Python444105964

• xiadingZ/video-caption.pytorch

  pytorch implementation of video captioning

  Language:Python4011150130

• GenImage-Dataset/GenImage

  Language:Python3326028

• lucidrains/transformer-in-transformer

  Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

  Language:Python30013843

• yehuitang/Pruning

  Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Network Pruning” (CVPR 2021).

  Language:Python239102447

• JaywongWang/DenseVideoCaptioning

  Official Tensorflow Implementation of the paper "Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning" in CVPR 2018, with code, model and prediction results.

  Language:Python14864050

• PkuRainBow/HDC.caffe

  Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

  Language:Python97131535

• afunTW/pytorch-mot-tracking

  Demo the Kalman Filter on pedestrian tracking with YOLOv3.

  Language:Python717111

• blakechi/ComVEX

  Implementations of Recent Papers in Computer Vision

  Language:Python39114

• xiadingZ/video-caption-openNMT.pytorch

  implement video caption based on openNMT

  Language:Python365112

• CSi-Studio/3D-MSNet

  A point cloud based deep learning model for untargeted feature detection and quantification in profile LC-HRMS data

  Language:Python27132

• lorafei/Explainable_GEC

  The official code of the 2023 ACL paper "Enhancing Grammatical Error Correction Systems with Explanations"

  Language:Python25163

• YunheWang/RedCNN

  Language:Matlab6110

• mayankwadhawan/gender-classification

  I have performed Gender Classification from static images using 5 different classifiers. They are Linear Discriminant Analysis, K-Nearest neighbors, Support Vector Machines, Naive Bayes and Decision tree learning. I was able to determine Gender of a person with accuracy of 98.75% (using Linear Discriminant Analysis).

  Language:Matlab22

• Andrew-Zhu/BSN-boundary-sensitive-network

  Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

  Language:Python1200