Stars
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Deformable Convolutional Networks
Visual localization made easy with hloc
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
A PyTorch Library for Multi-Task Learning
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Implementation of Graph Auto-Encoders in TensorFlow
A quickstart and benchmark for pytorch distributed training.
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemen…
An easy-to-use federated learning platform
A PyTorch Implementation of Federated Learning
The challenge projects for Inferencing machine learning models on iOS
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
A collection of Google research projects related to Federated Learning and Federated Analytics.
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks