wj-zhang

wj-zhang's Stars

• google/styleguide

  Style guides for Google-originated open-source projects

  Language:HTML37.6k1.3k33913.3k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2732333.1k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1313661.6k

• curlconverter/curlconverter

  Transpile curl commands into Python, JavaScript and 27 other languages

  Language:TypeScript7.6k74317943

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k13854874

• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  4.5k697577

• facebookresearch/XLM

  PyTorch original implementation of Cross-lingual Language Model Pretraining.

  Language:Python2.9k56334497

• ematvey/tensorflow-seq2seq-tutorials

  Dynamic seq2seq in TensorFlow, step by step

  Language:Jupyter Notebook9964836374

• JackieTseng/conference_call_for_paper

  2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

  Language:HTML8615930125

• wasidennis/AdaptSegNet

  Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

  Language:Python85119109203

• barebell/DA

  Unsupervised Domain Adaptation Papers and Code

  753409175

• lsdefine/attention-is-all-you-need-keras

  A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python7112635187

• jvanvugt/pytorch-domain-adaptation

  A collection of implementations of adversarial domain adaptation algorithms

  Language:Python6191211108

• tunz/transformer-pytorch

  Transformer implementation in PyTorch.

  Language:Python46849106

• thuml/Xlearn

  Transfer Learning Library

  Language:Jupyter Notebook4651631155

• valeoai/ADVENT

  Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

  Language:Python383133169

• liubenyuan/nudtpaper

  A LaTeX template for Master/PhD Thesis of NUDT

  Language:TeX3702241153

• RoyalVane/CLAN

  ( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

  Language:Python294112645

• liyunsheng13/BDL

  Language:Python223115429

• hui-po-wang/DISE-Domain-Invariant-Structure-Extraction

  Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

  Language:Python14551225

• nh2tran/DeepNovo

  Protein Identification with Deep Learning

  Language:Python94111242

• chengyangfu/pytorch-groupnormalization

  Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)

  Language:Python874724

• kusterlab/prosit

  Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7

  Language:Python851210045

• DerekKaknes/raman

  Deep CNN for Raman Applications

  Language:Jupyter Notebook464222

• pFindStudio/pDeep

  pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning

  Language:Python353627

• JAAdrian/MatlabRobustNonlinLsq

  A MATLAB function for robust non-linear least squares

  Language:MATLAB22215

• volpato30/DeepNovoV2

  Pytorch implementation of DeepNovoV2, a state-of-the-art de novo peptide sequencing model.

  Language:Python204517

• metaphox/fmin-python

  Language:Python110

• neely/PRG2018

  1300