alexeylabs

alexeylabs's Stars

• esokolov/ml-course-hse

  Машинное обучение на ФКН ВШЭ

  Language:Jupyter Notebook3k1.1k

• pytorch/xla

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  Language:C++2.5k480

• ai-forever/ru-gpts

  Russian GPT3 models.

  Language:Python2.1k441

• deeppavlov/DeepPavlov

  An open source library for deep learning end-to-end dialog systems and chatbots.

  Language:Python6.7k1.1k

• ptal/kobe-scheduling

  Data sets for the resource-constrained project scheduling problem (RCPSP)

  Language:JavaScript102

• catboost/tutorials

  CatBoost tutorials repository

  Language:Jupyter Notebook1k408

• shitkov/bert4classification

  Finetuning BERT for classification task

  Language:Jupyter Notebook498

• yuanqidu/awesome-graph-generation

  28618

• Yan-Minotskiy/Labs

  Решения университетских работ по различным дисциплинам

  Language:Jupyter Notebook7

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1.1k131

• estochka/MTS

  с хакатона МТС

  Language:Jupyter Notebook1

• dair-ai/ML-Papers-of-the-Week

  🔥Highlighting the top ML papers every week.

  10.2k597

• morlov/mtsmlcup

  A solution for MTS ML CUP competition

  Language:Jupyter Notebook52

• ottenbacher/MTS_ML_CUP

  Language:Jupyter Notebook42

• thousandvoices/mts_ml_cup

  Language:Python94

• yuanqidu/GraphGT

  Language:Python597

• rvecwxqz/mts_ml_cup

  Language:Jupyter Notebook42

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.1k18.7k

• ASGusev/mts_ml_cup_2023

  Language:Jupyter Notebook32

• e0xextazy/mtscup-2023

  Language:Jupyter Notebook23

• schistyakov/mtsmlcup_public

  MTS ML CUP 2023

  Language:Jupyter Notebook43

• sebashc3712/genetic_algorithm_for_scheduling_problem

  An implementation of genetic algorithm for solving the scheduling problem in flexible job shop

  Language:Python227

• timotheehenry/PSPLIB_parser

  Python parser for PSPLIB files (for resource constrained project scheduling problems)

  Language:Python6

• nicola-decao/MolGAN

  Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

  Language:Python26086

• yongqyu/MolGAN-pytorch

  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

  Language:Python16442

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python2.9k431

• scikit-learn-contrib/boruta_py

  Python implementations of the Boruta all-relevant feature selection method.

  Language:Python1.5k257

• danielzuegner/netgan

  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

  Language:Jupyter Notebook19167

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.3k3.6k

• CameleoGrey/cameleogrey_mtsmlcup

  CameleoGrey developments for MTS ML CUP

  Language:Python31