345 Open source projects that are alternatives of or similar to Pretrained Models.pytorch

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Gathers scalable tensorflow and infrastructure deployment

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

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

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

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

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

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

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Unsupervised Feature Learning via Non-parametric Instance Discrimination

InceptionTime: Finding AlexNet for Time Series Classification

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

PyTorch implementation of PNASNet-5 on ImageNet

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Segmentation models with pretrained backbones. PyTorch.

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

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

Comparison of famous convolutional neural network models

A collection of deep learning tutorials using Tensorflow and Python

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

2.86% and 15.85% on CIFAR-10 and CIFAR-100

Friendly machine learning for the web! 🤖

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

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

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Evaluation of the CNN design choices performance on ImageNet-2012.

Corruption and Perturbation Robustness (ICLR 2019)

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

Keras implementation of a ResNet-CAM model

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

tensorflow implementation of Grad-CAM (CNN visualization)

Example Tensorflow Processor using Java API for Apache NiFi 1.2 - 1.9.1+

🍊 🎑 Orange3 add-on for dealing with image related tasks

A simple image classification test using Core ML and Inception V3 model in Objective-C

♾A curated list of papers and code about very deep neural networks

A sample for tensorflow retraining

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

Visualizing where the Convolution Network is looking through CAM.

Generative deep learning: DeepDream

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

基于Inception，一个审计、执行、回滚、统计sql的开源系统

👁 Bulk-download all thumbnails from an ImageNet synset, with optional rescaling

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

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

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt

Using Residual Attention Networks to diagnose retinal diseases in medical images

🏞 A content-based image retrieval (CBIR) system

TensorFlow implementation of Faster RCNN for Object Detection

Depth estimation from RGB images using fully convolutional neural networks.

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Wide Residual Networks implemented in TensorLayer and TensorFlow.

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.