PyGCL is an open source Python library for graph contrastive learning. It builds on PyTorch and supports both PyTorch Geometric and the Deep Graph Library. …
Keywords: graph representation learning, graph contrastive learning, unsupervised learning, graph neural networks, Python, PyTorch
PyKale is a library in the PyTorch ecosystem aiming to make machine learning more accessible to interdisciplinary research by bridging gaps between data, software, and …
Keywords: multimodal machine learning, transfer learning, deep learning, machine learning, interdisciplinary research, PyTorch, Python
PyNNDescent is a Python nearest neighbour descent for approximate nearest neighbours. It provides a python implementation of Nearest Neighbour Descent for k-neighbour-graph construction and approximate …
Keywords: nearest neighbour, similarity search, clustering, Python
Pysam is a Python module for reading and manipulating genomics SAM/BAM/VCF/BCF files. It's a lightweight wrapper of the htslib C-API, the same one that powers …
Keywords: genomics, htslib, file I/O, variant call format, VCF, SAM, BAM, BCF, Python, C
PyTorch Geometric (PyG) is a geometric deep learning extension library for PyTorch.
It consists of various methods for deep learning on graphs and other irregular …
Keywords: geometric deep learning, PyTorch, graph machine learning, deep learning, neural networks, PyTorch Geometric
Source code of the paper "RAFT: Recurrent All Pairs Field Transforms for Optical Flow", presented at ECCV 2020.
Keywords: Optical Flow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining …
Keywords: retrieval augmented generation, RAG, large language models, LLM, chatbot, NLP, Python, PyTorch
The official code repo for the Reformer model which is an efficient NLP transformer architecture for long document processing. Efficiency is achieved via the use …
Keywords: transformer, NLP, Trax, language model, efficient transformer
Revisiting Self-Supervised Visual Representation Learning
This codebase allows to reproduce core experiments from the paper "Revisiting Self-Supervised Visual Representation Learning" by A. Kolesnikov, X. Zhai, and L. Beyer. It contains …
Keywords: self-supervised representation learning, machine learning, computer vision, visual representation learning, TensorFlow
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as …
Keywords: reinforcement learning, Python