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Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Graph Neural Network Library for PyTorch
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Open source code for AlphaFold 2.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A PyTorch Library for Multi-Task Learning
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
A framework for large scale recommendation algorithms.
Message Passing Neural Networks for Molecule Property Prediction
Meta-Transformer for Unified Multimodal Learning
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Official Repository for the Uni-Mol Series Methods
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Tutorials for learning OpenCV by making a video game bot.
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
One-shot Learning with Memory-Augmented Neural Networks
Code for our NeurIPS 2022 paper