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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.
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 open-source Python backtesting engine for designing and evaluating daily stock trading algorithms against real historical market data.
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
Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)
A library for efficient similarity search and clustering of dense vectors.