An opinionated list of awesome Python frameworks, libraries, software and resources.

All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Clone a voice in 5 seconds to generate arbitrary speech in real-time

A MNIST-like fashion product database. Benchmark 👇

Super Resolution for images using deep learning.

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

q - Run SQL directly on delimited files and multi-file sqlite databases

A unified framework for machine learning with time series

Code for the paper "Jukebox: A Generative Model for Music"

Neural style in TensorFlow! 🎨

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

A registry of publicly available datasets on AWS

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

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

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Unofficial PyTorch Implementation for FaceShifter (https://arxiv.org/abs/1912.13457)

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

RPA tool for applying to LinkedIn jobs

Automatic detection of plant diseases

A simple app to send messages to Slack channels / members using webhook

Smart India Hackathon 2k18 project for detecting plant disease based on images of plant leaves having disease

A ChatBot framework to create customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition

A Devanagiri Digits Classifier trained using Kaggle Dataset with CNN based architecture

Ive shown each and everyway how to blend and stack with bunch of algortihms then its all up to you. how you use them.

Using bert for tweet analysis