Helpful utility APIs for PyTorch projects.

MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

Dive into CPython internals, trying to illustrate every detail of CPython implementation

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

⏰ AI conference deadline countdowns

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

⭐️ Companies that don't have a broken hiring process

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Pytorch starter code for UC Berkeley's cs285 assignments

A tutorial on how to implement models for natural language inference using PyTorch and TorchText. [IN PROGRESS]

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

End-to-End Object Detection with Transformers

Natural Language Processing Tutorial for Deep Learning Researchers

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

This is a PyTorch implementation for ASPDNet: "Counting dense objects in remote sensing images" in ICASSP 2020

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

🌊 Online machine learning in Python

Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)