WangJerry95

WangJerry95's Stars

• zihangJiang/TokenLabeling

  Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

  Language:Jupyter Notebook42636

• SwinTransformer/Swin-Transformer-Semantic-Segmentation

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

  Language:Python1.2k222

• Tramac/awesome-semantic-segmentation-pytorch

  Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

  Language:Python2.9k586

• CoinCheung/BiSeNet

  Add bisenetv2. My implementation of BiSeNet

  Language:Python1.5k317

• higgsfield-ai/higgsfield

  Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

  Language:Jupyter Notebook3.3k554

• ucla-rlcourse/DeepRL-Tutorials

  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

  Language:Jupyter Notebook25491

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16.2k4.6k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.8k1.3k

• sfujim/TD3

  Author's PyTorch implementation of TD3 for OpenAI gym tasks

  Language:Python1.8k440

• ucla-rlcourse/RLexample

  Some basic examples of playing with RL

  Language:Python1.2k300

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python35.1k8.6k

• zhoubolei/introRL

  Intro to Reinforcement Learning (强化学习纲要）

  3.3k487

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  178k51.2k

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.5k518

• songdejia/Siamese-RPN-pytorch

  This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.

  Language:Python38287

• hfslyc/AdvSemiSeg

  Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

  Language:Python506128

• tamarott/SinGAN

  Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  Language:Python3.3k611

• Johnson0722/CTR_Prediction

  CTR prediction using FM FFM and DeepFM

  Language:Python750298

• wzhe06/Ad-papers

  Papers on Computational Advertising

  Language:Python4.2k1.2k

• NVIDIA/pix2pixHD

  Synthesizing and manipulating 2048x1024 images with conditional GANs

  Language:Python6.7k1.4k

• NVlabs/stylegan

  StyleGAN - Official TensorFlow Implementation

  Language:Python14.2k3.2k

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++31k7.3k

• NVlabs/SPADE

  Semantic Image Synthesis with SPADE

  Language:Python7.6k981

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python30k9.5k

• nndl/exercise

  exercise for nndl

  Language:Jupyter Notebook3.2k1.4k

• hytseng0509/DRIT_hr

  Multi-Modal Image-to-Image Translation on Tasks with High-Resolution Images

  Language:Python348

• taki0112/DRIT-Tensorflow

  Simple Tensorflow implementation of "Diverse Image-to-Image Translation via Disentangled Representations" (ECCV 2018 Oral)

  Language:Python11834

• NVlabs/MUNIT

  Multimodal Unsupervised Image-to-Image Translation

  Language:Python2.7k484

• ycliu93/CDRD

  Cross Domain Disentangled Deep Representation (CVPR'18)

  Language:Python121

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.2k879