768 Open source projects that are alternatives of or similar to Pytorch Classification

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

Statistical Machine Intelligence & Learning Engine

Skin cancer classification using Inceptionv3

PHP-ML - Machine Learning library for PHP

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Hung-Yi Lee ML 2017 Spring Homework

https://www.kaggle.com/c/humpback-whale-identification

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

Powerful and efficient Computer Vision Annotation Tool (CVAT)

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

猫狗大战

[ICLR'19] Complement Objective Training

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

DenseNet implementation in Keras

simple rules engine

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Train the HRNet model on ImageNet

State-of-the-art detector of Boring hats in images and videos.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Python wrapper to small NORB dataset

A one stop shop for all of your activity recognition needs.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

A collection of tools for chemometrics and machine learning written in Julia.

Machine Learning & Data Mining with JRuby

DenseNet Implementation in Tensorflow

TiMBL implements several memory-based learning algorithms.

Caffe Implementation of Google's MobileNets (v1 and v2)

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

My Attempt(s) In The World Of ML/DL....

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

A collection of deep learning tutorials using Tensorflow and Python

Yet another neural network library

Examples use case of PHP-ML library.

An open source framework for deep learning on satellite and aerial imagery.

Friendly machine learning for the web! 🤖

A Julia machine learning framework

Weaviate is a cloud-native, modular, real-time vector search engine

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

🤖 A portable, header-only, artificial neural network library written in C99

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

PyTorch implementation of Adversarially Learned Inference (BiGAN).

The implementation of Relativistic average GAN with Keras