Curated collection of human fingerprint datasets suitable for research and evaluation of fingerprint recognition algorithms.

Count the MACs / FLOPs of your PyTorch model.

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

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

EVA Series: Visual Representation Fantasies from BAAI

💬 Telegram bot with ChatGPT, Python-based, using OpenAI's API.

The official PyTorch implementation of Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning - CVPR 2023

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…

A hyperspherical face recognition library based on PyTorch

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

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

Paper collection of about the face anti-spoofing

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

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

torch-optimizer -- collection of optimizers for Pytorch

Unofficial PyTorch Reimplementation of RandAugment.

Convert face dataset to masked dataset

Pragmatic humanist's thoughts on sociotechnical systems.

A PyTorch Toolbox for Face Recognition

Loss Function Search for Face Recognition

WIP: Roadmap to becoming a machine learning engineer in 2020

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

Answers to 120 commonly asked data science interview questions.

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

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

CurricularFace(CVPR2020)

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