468 Open source projects that are alternatives of or similar to Awesome Image Classification

Paper notes in deep learning/machine learning and computer vision

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Awesome-pytorch-list 翻译工作进行中......

List of some useful blogs, books, courses, papers etc. 📚

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

🙄 Difficult algorithm, Simple code.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Image Tampering Detection using ELA and CNN

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Source code of Indian Paper Currency Prediction 🔥

Image classification: efficientnet/resnest/seresnext/.....

The Ruby Bibliography

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Deep Learning Food Classifier for iOS using Keras and Tensorflow

Facial Expression Recognition using Residual Masking Network

PyTorch baseline for AI challenger Scene classification

CNN image classifier implemented in Keras Notebook 🖼️.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

Deep Learning: Image classification, feature visualization and transfer learning with Keras

2D&3D human pose estimation

Object Recognition using TensorFlow and Java

Deploying Keras models using TensorFlow Serving and Flask

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Papers from the computer science community to read and discuss.

A curated list of research papers and resources on code-switching

Paper list and source code for multi-object-tracking

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

🤖 Implements of Reinforcement Learning algorithms.

Object classification with CIFAR-10 using transfer learning

Deep Reinforcement Learning Notes

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Test Time image Augmentation (TTA) wrapper for Keras model.

AutoML frAmework for Neural Networks

A tool for quickly training image classifiers in the browser

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

Official Implementation of 'Fast AutoAugment' in PyTorch.

Export Zotero to a stand-alone web site

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Bridging the gap Between Stability and Scalability in Neural Architecture Search

A curated list of research papers in Vision-Language Navigation (VLN)

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

论文阅读，欢迎大家投稿自己阅读过的论文。

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

A list of papers on system design.

A resource repository for sketch based deep learning papers

🐙 🐙图形学论文实现

Books, papers and links to latest research in ML/AI

Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

A curated list of awesome embedding models tutorials, projects and communities.

An example of using Tensorflow with Unity for image classification and object detection.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.