zkxshg

zkxshg's Stars

• rbgirshick/rcnn

  R-CNN: Regions with Convolutional Neural Network Features

  Language:Matlab2.4k978

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.8k1.1k

• MingchaoZhu/InterpretableMLBook

  《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

  4.9k691

• bloc97/Anime4K

  A High-Quality Real Time Upscaler for Anime Video

  Language:Jupyter Notebook18.7k1.4k

• WXinlong/SOLO

  SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

  Language:Python1.7k307

• SNAS-Series/SNAS-Series

  This repo contains the PyTorch implementation of the SNAS-Series papers

  Language:Python14925

• jfzhang95/pytorch-deeplab-xception

  DeepLab v3+ model in PyTorch. Support different backbones.

  Language:Python2.9k784

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k606

• leoxiaobin/deep-high-resolution-net.pytorch

  The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

  Language:Cuda4.4k919

• oscarknagg/few-shot

  Repository for few-shot learning machine learning projects

  Language:Python1.2k248

• CuriousAI/ladder

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

  Language:Python516142

• HobbitLong/CMC

  [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

  Language:Python1.3k180

• peisuke/MomentumContrast.pytorch

  Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning

  Language:Python12025

• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k1.8k

• shaoshengsong/EfficientNet-SSD

  Object Detection using EfficientNet

  Language:Python458

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python8k1.5k

• shelhamer/fcn.berkeleyvision.org

  Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

  Language:Python3.3k1.5k

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.9k9.1k

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5.1k1.3k

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.5k1.1k

• discdiver/2019-in-demand-ds-tech-skills

  Jupyter notebook for scraping and analysis of most in demand job technologies skills for data scientists.

  Language:Jupyter Notebook4927

• wouterkool/attention-learn-to-route

  Attention based model for learning to solve different routing problems

  Language:Jupyter Notebook1.1k346

• orrivlin/MinimumVertexCover_DRL

  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL

  Language:Python7618

• goto456/stopwords

  中文常用停用词表（哈工大停用词表、百度停用词表等）

  4.8k2.2k

• liyifeng1994/ssm

  手把手教你整合最优雅SSM框架：SpringMVC + Spring + MyBatis

  Language:Java5.9k2.8k

• tensorflow/tcav

  Code for the TCAV ML interpretability project

  Language:Jupyter Notebook634151

• google/fast-simple-lcsk

  Fast and simple algorithms for computing both LCSk and LCSk+

  Language:C++219

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.3k1.3k

• pydata/xarray

  N-D labeled arrays and datasets in Python

  Language:Python3.7k1.1k

• multimodallearning/pytorch-mask-rcnn

  Language:Python2k555