toshi-k

toshi-k's Stars

• facebookresearch/faiss

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

  Language:C++30.5k4802.5k3.6k

• PostgREST/postgrest

  REST API for any Postgres database

  Language:Haskell23.2k3411.7k1k

• kubeflow/kubeflow

  Machine Learning Toolkit for Kubernetes

  Language:TypeScript14.2k3623.9k2.4k

• microsoft/Swin-Transformer

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

  Language:Python13.6k1273092k

• online-ml/river

  🌊 Online machine learning in Python

  Language:Python5k81600540

• facebookresearch/AugLy

  A data augmentations library for audio, image, text, and video.

  Language:Python4.9k7774298

• amundsen-io/amundsen

  Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

  Language:Python4.4k234685954

• colesbury/nogil

  Multithreaded Python without the GIL

  Language:Python2.9k62125108

• traveller59/spconv

  Spatial Sparse Convolution Library

  Language:Python1.8k24689362

• NVIDIA-Merlin/NVTabular

  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

  Language:Python1k34785143

• trent-b/iterative-stratification

  scikit-learn cross validators for iterative stratification of multilabel data

  Language:Python84162575

• e2nIEE/pandapower

  Convenient Power System Modelling and Analysis based on PYPOWER and pandas

  Language:Python83649956477

• kubeflow/manifests

  A repository for Kustomize manifests

  Language:YAML80232968866

• klausmeyer/docker-registry-browser

  🐳 Web Interface for the Docker Registry HTTP API V2 written in Ruby on Rails.

  Language:Ruby48998252

• datashim-io/datashim

  A kubernetes based framework for hassle free handling of datasets

  Language:Go4731018667

• SeuTao/RSNA2019_Intracranial-Hemorrhage-Detection

  Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019

  Language:Python4111416113

• pfnet-research/xfeat

  Flexible Feature Engineering & Exploration Library using GPUs and Optuna.

  Language:Python36427323

• ChristofHenkel/kaggle-landmark-2021-1st-place

  Language:Jupyter Notebook33418941

• krasserm/fairseq-image-captioning

  Transformer-based image captioning extension for pytorch/fairseq

  Language:Python313132856

• DeNA/HandyRL

  HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

  Language:Python282132441

• subinium/kaggle-badge

  Add dynamically generated Kaggle Tier & Medals on your readme.

  2095726

• rishigami/Swin-Transformer-TF

  Tensorflow implementation of Swin Transformer model.

  Language:Python20052349

• boschresearch/BCAI_kaggle_CHAMPS

  Bosch solution to CHAMPS Kaggle competition

  Language:Python12511125

• MarvinLer/pypownet

  A power network simulator with a Reinforcement Learning-focused usage.

  Language:Python107134230

• antorsae/champs-scalar-coupling

  Gold medal #2 Kaggle "Predicting Molecular Properties" compatition

  Language:Jupyter Notebook614017

• okotaku/kaggle_rsna2019_3rd_solution

  Language:Python571021

• shimacos37/kaggle-trends-3rd-place-solution

  the 3rd place solution code of Kaggle TReNDS Neuroimaging (https://www.kaggle.com/c/trends-assessment-prediction/overview)

  Language:Python55208

• tattaka/birdclef-2021

  BirdCLEF 2021 - Birdcall Identification 4th place solution

  Language:Python49519

• amar-iastate/L2RPN-using-A3C

  Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet). It is released under a license of LGPLv3

  Language:Python332411

• Keiku/Action-Recognition-CNN-LSTM

  Action recognition tutorial using UCF-101 dataset.

  Language:Python22215