Mikhail Nikitin (mnikitin)

mnikitin

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Mikhail Nikitin's starred repositories

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Language:PythonLicense:Apache-2.0Stargazers:33080Issues:335Issues:2557

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Language:PythonLicense:Apache-2.0Stargazers:30112Issues:308Issues:870

Swin-Transformer

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

Language:PythonLicense:MITStargazers:13086Issues:126Issues:301

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

data-science-interviews

Data science interview questions and answers

Language:HTMLLicense:CC-BY-4.0Stargazers:8178Issues:216Issues:15

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Language:PythonLicense:MITStargazers:5810Issues:63Issues:491

tlroadmap

Тимлид – это ❄️, потому что в каждой компании он уникален и неповторим.

Language:VueLicense:CC-BY-SA-4.0Stargazers:5016Issues:185Issues:142

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Language:Jupyter NotebookStargazers:3203Issues:72Issues:2

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

Language:PythonLicense:Apache-2.0Stargazers:2961Issues:33Issues:63

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

ml-engineer-roadmap

WIP: Roadmap to becoming a machine learning engineer in 2020

FaceX-Zoo

A PyTorch Toolbox for Face Recognition

Language:PythonLicense:NOASSERTIONStargazers:1835Issues:41Issues:158

koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

Language:PythonLicense:Apache-2.0Stargazers:1815Issues:11Issues:28

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

teamlead

Pragmatic humanist's thoughts on sociotechnical systems.

Language:Vim ScriptLicense:MITStargazers:949Issues:73Issues:13

pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

Language:PythonLicense:MITStargazers:623Issues:15Issues:30

MaskTheFace

Convert face dataset to masked dataset

Language:PythonLicense:MITStargazers:561Issues:16Issues:24

CurricularFace

CurricularFace(CVPR2020)

Language:PythonLicense:MITStargazers:512Issues:22Issues:42

DL

Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

Awesome-FAS

Paper collection of about the face anti-spoofing

opensphere

A hyperspherical face recognition library based on PyTorch

Language:Jupyter NotebookLicense:MITStargazers:256Issues:9Issues:35

FAS-SGTD

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Language:PythonLicense:MITStargazers:224Issues:11Issues:27

readingbricks

A structured collection of notes (mostly, on machine learning) and a Flask app for reading and searching them.

Language:Jupyter NotebookLicense:MITStargazers:89Issues:9Issues:0

megaface-evaluation

A Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet

loss_function_search

Loss Function Search for Face Recognition

Face-NMS

Official implementation of "Face-NMS: A Core-set Selection Approach for Efficient Face Recognition"