398 Open source projects that are alternatives of or similar to Deeplearningc

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

CNN CBIR benchmark (ongoing)

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

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... ...

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

CNN-RNN中文文本分类，基于TensorFlow

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

MTCNN with Motion Detection, on Raspberry Pi with Love

Code examples for new APIs of iOS 10.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Densely Connected Pyramid Dehazing Network (CVPR'2018)

基于卷积神经网络的语音识别声学模型的研究

Audio steganalysis with tensorflow.

FaceBoxes for hand detection in PyTorch

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

FPGA Accelerator for CNN using Vivado HLS

YOLO for object detection tasks

Character-level Convolutional Networks for Text Classification论文仿真实现

嵌入Word2vec词向量的CNN中文文本分类

Image Captioning using InceptionV3 and beam search

NN based lossless compression

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

A deep learning library to provide algs in pure Numpy or Tensorflow.

An open source library for face detection in images. The face detection speed can reach 1000FPS.

A Keras implementation of MobileNetV2.

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.

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

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

Keras implementation of a ResNet-CAM model

Fever screening with IR & RGB cameras and Deep CNNs

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

keras theano 验证码破解 字母+数字

Visualizer for Deep Neural Networks

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

stock predict by cnn and lstm

Deep Learning--深度学习

Kervolution Library in PyTorch (CVPR 2019 Oral)

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

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

Visualisations for Convolutional Neural Networks in Pytorch

Facelet-Bank for Fast Portrait Manipulation (pytorch)

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

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

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results