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pvt

Official implementation of PVT series

python

All Algorithms implemented in Python

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-tutorials-examples-and-books

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

qrnet

rcppkalman

Kalman filtering via RcppArmadillo

reclip

refer-parser2

Referring Expression Parser

reltr

RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2

roberta_zh

RoBERTa中文预训练模型: RoBERTa for Chinese

scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

scene_graph_benchmark

image scene graph generation benchmark

scenegraphparser

A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).

self_commit_orb-slam2

ORB-SLAM2 源码注释， 基于泡泡机器人的注释版本

slip

Code release for SLIP Self-supervision meets Language-Image Pre-training

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

state-estimation-exercises

The exercises in Barfoot's book: state estimation for robotics

statistic

collecting books, papers and docs.

tech_aarticle

主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

tensorflow

An Open Source Machine Learning Framework for Everyone

text-attention-heatmap-visualization

Plot the vector graph of attention based text visualisation

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transvg

ucas2016

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vild

Reference models and tools for Cloud TPUs.

vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

xmodal-ctx

Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning