650 Open source projects that are alternatives of or similar to Selecsls Pytorch

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

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PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

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LCNN: End-to-End Wireframe Parsing

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Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

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CNN image style transfer 🎨.

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A small convolution neural network deep learning framework implemented in c++.

코딩셰프의 3분 딥러닝, 케라스맛

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

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.

Tengine is a lite, high performance, modular inference engine for embedded device

Sandbox for training deep learning networks

Simple program to learn CNN (LeNet-5) in pure C

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

Tutorials of deep learning for computer vision.

A specially designed light version of Fast AutoAugment

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

A Caffe Re-Implementation of SENet

A neural network that transforms a design mock-up into a static website.

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

Hierarchical Attention Networks for document classification

A python program to detect and classify hand pose using deep learning techniques

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。

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

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

3D image classification using CNN (Convolutional Neural Network)

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Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Implementing Searching for MobileNetV3 paper using Pytorch

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Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

A DCGAN to generate anime faces using custom mined dataset

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

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This code implements a simple CNN model for document classification with tensorflow.

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DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

A simple Spatial Pyramid Pooling layer which could be added in CNN