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

Brevitas: quantization-aware training in PyTorch

機械学習関連の論文Survey用レポジトリ

Deep Reinforcement Learning Notes

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

语音识别理论，论文和PPT

MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang

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

This repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

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

UI for working with Deepstack

🍎 My own face recognition with deep neural networks.

Guided Image-to-Image Translation Papers

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

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Machine Learning platform in-browser for creators

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

Extract deep learning features from images using simple python interface

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

The collection of pre-trained, state-of-the-art AI models for ailia SDK

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

Zalo AI Challenge - Music Genre Classification

Differentiable architecture search for convolutional and recurrent networks

Bottleneck Transformers for Visual Recognition

AutoML frAmework for Neural Networks

No description or website provided.

Experiments with Mobile

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Utils for fast.ai course

Resolver Sudoku de genina.com

Papers on Computational Advertising

Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory

A tool for quickly training image classifiers in the browser

No description or website provided.

detect stages in video automatically

VFRAME: Visual Forensics and Metadata Extraction

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 popular deep learning models related to classification, segmentation and detection problems

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

No description or website provided.

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

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

A list of NLP resources focused on event extraction task

Documentation, references, and collected academic research for the cuteOS Kernel.

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

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

A list of popular deep learning models related to classification, segmentation and detection problems

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

Official Implementation of 'Fast AutoAugment' in PyTorch.

A machine learning exercise, using KNN to classify deforested areas

A Keras implementation of MobileNetV2.

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

Deep Transfer Learning Papers

猫狗大战