agoncharenko1992

agoncharenko1992's Stars

• BITMAPdds/NeuralFRG

  Language:Python234

• MIPSfpga/schoolMIPS

  CPU microarchitecture, step by step

  Language:Verilog19265

• moskomule/sam.pytorch

  A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization

  Language:Python1369

• ermongroup/cs228-notes

  Course notes for CS228: Probabilistic Graphical Models.

  Language:SCSS1.9k479

• Ageliss/For_shared_codes

  Language:Python15

• OML-Team/open-metric-learning

  Metric learning and retrieval pipelines, models and zoo.

  Language:Python90064

• VainF/Torch-Pruning

  [CVPR 2023] DepGraph: Towards Any Structural Pruning

  Language:Python2.8k339

• kuanhungchen/awesome-tiny-object-detection

  🕶 A curated list of Tiny Object Detection papers and related resources.

  1.5k209

• alex-sokolov2011/100_Numpy_exercises_Rus_ver

  100 упражнений по numpy версия на русском

  Language:Jupyter Notebook16129

• yaozhewei/HAP

  Language:Python425

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook711120

• girafe-ai/ml-course

  Open Machine Learning course

  Language:Jupyter Notebook2.4k1.1k

• noahgolmant/pytorch-hessian-eigenthings

  Efficient PyTorch Hessian eigendecomposition tools!

  Language:Python36844

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  310k77.5k

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.4k1.2k

• louisfb01/best_AI_papers_2022

  A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

  3.2k205

• nsanghi/bayesian-methods-for-ml

  My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)

  Language:Jupyter Notebook2717

• quantum-ods/qmlcourse

  Курс по квантовому машинному обучению

  Language:TeX23031

• WhatIThinkAbout/BabyRobot

  A Baby Robot's Guide to Reinforcement Learning

  Language:Jupyter Notebook18583

• soroosh-rz/Bayesian-Methods-for-Machine-Learning

  Bayesian Methods for Machine Learning

  Language:Jupyter Notebook6431

• evgenii-egorov/DeepBayesSPB21

  3

• CalculatedContent/WeightWatcher

  The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

  Language:Python1.5k125

• musco-ai/musco-pytorch

  MUSCO: MUlti-Stage COmpression of neural networks

  Language:Jupyter Notebook7116

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k401

• DirtyHarryLYL/Transformer-in-Vision

  Recent Transformer-based CV and related works.

  1.3k143

• AminHP/gym-anytrading

  The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

  Language:Python2.2k478

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On

  Hands-on Deep Reinforcement Learning, published by Packt

  Language:Python2.9k1.3k

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k227

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.6k1.5k

• bayesgroup/HSE_ML_research_seminar

  Language:Jupyter Notebook214