Stars
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
Models and examples built with TensorFlow
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Datasets, Transforms and Models specific to Computer Vision
deep learning for image processing including classification and object-detection etc.
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
Pytorch实现的简单的基于Vision Transformer(ViT)的分类任务
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A Simplified PyTorch Implementation of Vision Transformer (ViT)
Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
NLP中文预训练模型泛化能力挑战赛(https://tianchi.aliyun.com/competition/entrance/531841/introduction?spm=5176.12281957.1004.2.7a883eafYhYhOq)