Open RadioML Synthetic Benchmark Dataset

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Resources to crack the next coding interview

MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets

Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'

Feature Selection using Genetic Algorithm (DEAP Framework)

VIP cheatsheets for Stanford's CS 229 Machine Learning

Easily benchmark machine learning models in PyTorch

Reference models and tools for Cloud TPUs.

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

A curated list of awesome Distributed Deep Learning resources.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

ICPR 2020: Facial Expression Recognition using Residual Masking Network

ARM - Official PyTorch Implementation

A cheat sheet for streamlit

TensorFlow 101: Introduction to Deep Learning

[Example APPS] Basic Flutter apps, for flutter devs.

List of Computer Science courses with video lectures.

Models and examples built with TensorFlow

A simple framework in python to create multi page web application using streamlit

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The Open Source Data Science Masters