anmikh

accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Awesome-Visual-Transformer

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

toolkit

Official Python toolkit for generic object tracking benchmark GOT-10k and beyond

Lite-HRNet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

Ultralight-SimplePose

Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,

CtCI-6th-Edition-cpp

Cracking the Coding Interview 6th Ed. C++ Solutions

CLRS

:notebook:Solutions to Introduction to Algorithms

DPT

Dense Prediction Transformers

YOLOF

You Only Look One-level Feature (YOLOF), CVPR2021, Detectron2

speechbrain

A PyTorch-based Speech Toolkit

FSSD_OoD_Detection

[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.

YOLOF

keepsake

Version control for machine learning

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

SimpleHTR

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

LD

Localization Distillation for Object Detection (CVPR 2022, TPAMI 2023)

tensorrt_inference

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

model_search

Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

SupCon-Framework

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

sps

Official code for the Stochastic Polyak step-size optimizer

testovoe

Home assignments for data science positions

leetcode-patterns

A pattern-based approach for learning technical interview questions

STREETS

Code Repository for STREETS Dataset

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Awesome-Object-Detections

object detection records

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller