A complete computer science study plan to become a software engineer.

Apache Superset is a Data Visualization and Data Exploration Platform

Google Research

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

Development repository for the Triton language and compiler

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Approaching (Almost) Any Machine Learning Problem

🚴 Call stack profiler for Python. Shows you why your code is slow!

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

Merlion: A Machine Learning Framework for Time Series Intelligence

GraphQL support for PostgreSQL

Visualize and compare datasets, target values and associations, with one line of code.

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

Deep neural network to extract intelligent information from invoice documents.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Smart solution to solve sudoku in VR

Python Feature Engineering Cookbook, published by Packt

Open source speech to text models for Indic Languages

Portal is the fastest way to load and visualize your deep neural networks on images and videos 🔮

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

This repository accompanies the book "Getting Started with Natural Language Processing"

Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing

A code challenge in Ruby - move a robot in a table of 5x5