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

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

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

TensorFlow ImageNet demo using ROS sensor_msgs/Image

Paper list and source code for multi-object-tracking

Trial on kaggle imagenet object localization by yolo v3 in google cloud

.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/

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

🤖 Implements of Reinforcement Learning algorithms.

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

Object classification with CIFAR-10 using transfer learning

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Deep Reinforcement Learning Notes

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

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

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

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

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

AutoML frAmework for Neural Networks

Utils for fast.ai course

A tool for quickly training image classifiers in the browser

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

TensorFlow Implementation of state-of-the-art models since 2012

Official Implementation of 'Fast AutoAugment' in PyTorch.

Export Zotero to a stand-alone web site

区块链相关的有价值的文献

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

A simple example on Image Classification in Node.js with TensorFlow.js

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。

🍬Some papers & books I’ve read.

论文阅读，欢迎大家投稿自己阅读过的论文。

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

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

Source code for 'ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection' - Task 3 (Classification)

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

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

A resource repository for 3D machine learning

A list of papers on system design.

视觉(语义) SLAM 相关研究跟踪

A resource repository for sketch based deep learning papers

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

🐙 🐙图形学论文实现

A curated list of papers, code and resources pertaining to zero shot learning

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

Powerful and highly extensible command-line based document and bibliography manager.

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

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

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》)

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.

Almost any Image classification problem using pytorch

Implementing Lambda Networks using Pytorch