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

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

A lightweight convolutional neural network

Selective Classification For Deep Neural Networks.

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Keras implementation of a ResNet-CAM model

ResNet for Cifar10

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

ImageNet pre-trained models with batch normalization for the Caffe framework

Reproduces ResNet-V3 with pytorch

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

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

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

MobileNetV3 in pytorch and ImageNet pretrained models

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

A Caffe Re-Implementation of SENet

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

Play deep learning with CIFAR datasets

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Measure and visualize machine learning model performance without the usual boilerplate.

PHP-ML - Machine Learning library for PHP

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Hung-Yi Lee ML 2017 Spring Homework

Generalized Data-free Universal Adversarial Perturbations

[ICLR'19] Complement Objective Training

Classification for covid-19 chest X-ray images using Lightning

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

simple rules engine

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Label Embedding Network

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

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

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

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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.

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

Python wrapper to small NORB dataset

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Adaptive Real-Time Object Detection System with HOG and CNN Features

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

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

Machine Learning & Data Mining with JRuby

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