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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Curated list of project-based tutorials
An open source implementation of CLIP.
Master the command line, in one page
Examples and guides for using the OpenAI API
A collection of loss functions for medical image segmentation
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
VOLO: Vision Outlooker for Visual Recognition
[ICCV-2021] TransReID: Transformer-based Object Re-Identification
TensorFlow code and pre-trained models for BERT
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Authors official PyTorch implementation of the "ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning" [ICCV 2019]
AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (Theano)
DSNet: A Flexible Detect-to-Summarize Network for Video Summarization
Unsupervised video summarization with deep reinforcement learning (AAAI'18)
计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...
Implementation of Non-local Block.
⚡ A Fast, Extensible Progress Bar for Python and CLI
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Semantic Segmentation Architectures Implemented in PyTorch
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
PyTorch for Semantic Segmentation