tatsu123

tatsu123's Stars

• ryuichi0704/aa-tntk

  Language:Jupyter Notebook1

• Plachtaa/VALL-E-X

  An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

  Language:Python7.8k769

• hakubishin3/booking-challenge-2021

  Booking.com Challenge - WebTour 2021 ACM WSDM workshop https://www.bookingchallenge.com/

  Language:Python5

• NVIDIA-Merlin/competitions

  Solutions to Recommender Systems competitions

  Language:Jupyter Notebook19944

• pybotters/pybotters

  An advanced API client for python bot traderes.

  Language:Python39977

• ccxt/ccxt

  A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

  Language:Python34k7.6k

• richmanbtc/mlbot_tutorial

  A tutorial for algorithmic trading bot using machine learning.

  Language:Jupyter Notebook486186

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python793175

• openjny/tutorial-graph-deep-learning-with-dgl

  DGLGraph によるグラフ深層学習のチュートリアル

  Language:Jupyter Notebook93

• junprog/atmaCup11

  Language:Python3

• navitacion/atmaCup_11

  Language:Python1

• MLHPC/wandb_tutorial

  381

• benedekrozemberczki/ClusterGCN

  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

  Language:Python791135

• layumi/Person_reID_baseline_pytorch

  :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

  Language:Python4.2k1k

• bestfitting/instance_level_recognition

  The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition

  Language:Python15433

• psinger/kaggle-landmark-recognition-2020-1st-place

  Language:Python28356

• insikk/delf_enhanced

  Wrapper of DELF Tensorflow Model

  Language:Jupyter Notebook11427

• toshi-k/kaggle-google-landmark-retrieval-2019

  26th place solution in "Google Landmark Retrieval 2019"

  Language:Python31

• nashory/DeLF-pytorch

  PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

  Language:Jupyter Notebook34463

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k45.7k

• antorsae/landmark-retrieval-2019

  Language:Jupyter Notebook85

• haqishen/Google-Landmark-Recognition-2020-3rd-Place-Solution

  Language:Jupyter Notebook14724

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++32.3k3.7k

• intoffset/diffusion-landmark2019

  Language:Python31

• ducha-aiki/manifold-diffusion

  Diffusion on manifolds for image retrieval

  Language:Python12623

• fyang93/diffusion

  Efficient Diffusion for Image Retrieval

  Language:Python22136

• filipradenovic/cnnimageretrieval-pytorch

  CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

  Language:Python1.4k322

• lyakaap/Landmark2019-1st-and-3rd-Place-Solution

  The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.

  Language:Python43888

• ryancheunggit/Denoise-Transformer-AutoEncoder

  Language:Python34355

• amaotone/atmaCup-5

  atmaCup #5 solution (Public: 2nd, Private: 6th)

  Language:Python542