Deepfakes Software For All

Caffe: a fast open framework for deep learning.

QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)

Bipartite-network link prediction in Python

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

SimplE Embedding for Link Prediction in Knowledge Graphs

Easy link prediction tool

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

Representation learning for link prediction within social networks

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

A curated list of data mining papers about fraud detection.

StellarGraph - Machine Learning on Graphs

Load an image file into a numpy array with Exif orientation support. Prevents upside-down and sideways images!

The world's simplest facial recognition api for Python and the command line

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Experimental Gradient Boosting Machines in Python with numba.

Tesseract Open Source OCR Engine (main repository)

scikit-learn: machine learning in Python

Deep Learning for humans

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Approaching (Almost) Any Machine Learning Problem

The Legion Parallel Programming System

A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

An Open Source Machine Learning Framework for Everyone