EB1A Full Application - I-140 and I-485

AutoML library for deep learning

[ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures

Flower: A Friendly Federated AI Framework

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Original course HDL solutions, F# implementations for the software stack, and VHDL implementations for the hardware stack for the nand2tetris course and The Elements of Computing Systems book.

Competitive Programmer's Handbook

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

TODS: An Automated Time-series Outlier Detection System

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)