Magnificent app which corrects your previous console command.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A curated list of awesome Machine Learning frameworks, libraries and software.

A collection of learning resources for curious software engineers

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

A toolkit for developing and comparing reinforcement learning algorithms.

PyTorch implementations of Generative Adversarial Networks.

The Data Engineering Cookbook

Python Implementation of Reinforcement Learning: An Introduction

A library to generate LaTeX expression from Python code.

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Game Boy emulator written in Python

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A Hyperparameter Tuning Library for Keras

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Reinforcement Learning in PyTorch

Train AI models efficiently on medical images using any framework

Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Model analysis tools for TensorFlow

A Collection of BM25 Algorithms in Python

PyTorch layer-by-layer model profiler

Active Learning for Text Classification in Python

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

A command-line utility and Scrapy middleware for scraping time series data from Archive.org's Wayback Machine.

Testing framework to simplify writing ML unit tests.

Unit Testing for pytorch, based on mltest

TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)

Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"

DRIFT is a tool for Diachronic Analysis of Scientific Literature.