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awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

biva-pytorch

Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cpp_houjie

侯捷C++课程PPT及代码,动手学起来

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs224n-2019-reading-notes

CS224N-2019 Chinese Reading Notes 中文阅读笔记

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cs224n-learning-camp

cs224n_2019

cs224n 2019 Note & Assignment Code

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

deeperlab-pytorch

Segmentation realize Deeperlab only segmentation part

eql.detectron2

Implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2

holocron

PyTorch implementations of recent Computer Vision tricks

hubo-vlm

Official implementation of HuBo-VLM.

isic_2018_classification

Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3

jigsawpuzzlepytorch

Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

megreader

A research project for text detection and recognition using PyTorch 1.2.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

nmt

TensorFlow Neural Machine Translation Tutorial

nts-net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

once_benchmark

One Million Scenes for Autonomous Driving

ovo-open-vocabulary-occupancy

p3former

P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer

penet_icra2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"