🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycle…

Python & JAVA Solutions for Leetcode

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

This repository contains demos I made with the Transformers library by HuggingFace.

Pytorch implementation of LSTM/BERT-CRF for named entity recognition

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA

A powerful and flexible machine learning platform for drug discovery

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020

NeMo: a toolkit for conversational AI

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

Pytorch Geometric Tutorials

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

🪐 End-to-end NLP workflows from prototype to production

Grakn Documentation

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Parsers for scientific papers (PDF2JSON and TEX2JSON)

Full text geoparsing as a Python library

Grakn Knowledge Graph Library (ML R&D)

Deep Learning (with PyTorch)

Python Data Science Handbook: full text in Jupyter Notebooks