71 Open source projects that are alternatives of or similar to pretrained-models

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

food image to recipe with deep convolutional neural networks.

This is a Chinese Character ocr system based on Deep learning (VGG like CNN neural net work),this rep include trainning set generating,image preprocesing,NN model optimizing based on Keras high level NN framwork

PyTorch implementation of DeepDream algorithm

Classification models trained on ImageNet. Keras.

记录每一个常用的深度模型结构的特点（图和代码）

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

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

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

High level network definitions with pre-trained weights in TensorFlow

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Pyramidbox implement with pytorch

This is a code repository for pytorch c++ (or libtorch) tutorial.

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Variational auto-encoder trained on celebA . All rights reserved.

Artificial Intelligence Learning Notes.

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

HyperPose: A Collection of Real-time Human Pose Estimation

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

VGG-Face CNN descriptor in PyTorch.

TensorFlow and Deep Learning Tutorials

Generative Adversarial Text to Image Synthesis / Please Star -->

practice on CIFAR10 with Keras

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

Age and Gender Estimation Using Convolutional Neural Network

Implementation of popular deep learning networks with TensorRT network definition API

A pytorch implementation of Bilinear CNNs for Fine-grained Visual Recognition(BCNN).

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

用python做计算机视觉，人工智能，机器学习，深度学习等

Implement of Openpose use Tensorflow

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Identifying numbers from bankcard, based on Deep Learning with Keras [China Software Cup 2019]

Various CNN models for CIFAR10 with Chainer

A curated list of dedicated resources and applications

Computer vision based ML training data generation tool 🚀

《深度学习：一起玩转TensorLayer》资源分享、讨论

AI Papers

A Computation Graph Virtual Machine Based Deep Learning Framework

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

Re-implement CycleGAN in Tensorlayer

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

Chatbot in 200 lines of code using TensorLayer

Neural Style implementation in PyTorch! 🎨

Insight Face on TensorFlow

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

TensorFlow implementation of Faster RCNN for Object Detection

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

AI场景分类竞赛

An Implementation of Fully Convolutional Networks in 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.