884 Open source projects that are alternatives of or similar to Smoothly Blend Image Patches

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

Object localization in images using simple CNNs and Keras

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

3D image classification using CNN (Convolutional Neural Network)

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

Pytorch implementation of GCN architecture for semantic segmentation

TensorFlow code for finetuning I3D model on UCF101.

Fever screening with IR & RGB cameras and Deep CNNs

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

基于卷积神经网络的语音识别声学模型的研究

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

CNN CBIR benchmark (ongoing)

Caffe to VHDL

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

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

Visualisations for Convolutional Neural Networks in Pytorch

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

FPGA Accelerator for CNN using Vivado HLS

Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Automatic detection of plant diseases

Diseases Detection from NIH Chest X-ray data

基于CNN的验证码整体识别

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

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

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

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

lidc nodule detection with CNN and LSTM network

PyTorch tutorial for learners

🤘 awesome-semantic-segmentation

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

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

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

PyTorch implementation of SIFT descriptor

Text Classification by Convolutional Neural Network in Keras

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

DVDnet: A Simple and Fast Network for Deep Video Denoising

Simplest and fastest image and text annotation tool.

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

用 Tensorflow.js 猜猜我的女朋友在想什么. A Tensorflow.js application for facial classification.

Cortex M KWS example with Tengine Lite.

The hottest High Dynamic Range (HDR) Library

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

20x Real-time superpixel SLIC Implementation with CPU

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Sky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.