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

A specially designed light version of Fast AutoAugment

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Style transfer using deep convolutional neural nets

TensorFlow template application for deep learning

游戏捏脸，基于神经风格迁移框架生成逼真人脸

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

3D image classification using CNN (Convolutional Neural Network)

A DCGAN to generate anime faces using custom mined dataset

A High-Quality Real Time Upscaler for Anime Video

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Learning Deep Features for Discriminative Localization (2016)

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

attention based joint model for intent detection and slot filling

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

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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。

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

小帅一点资讯微信小程序图像识别源码，微信小程序百度AI接口源码，微信小程序图片上传显示缩放缩略图,人工智能，图像识别，人脸颜值分析，植物、动物、车型、LOGO、食材、手写文字识别等

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

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

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

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

코딩셰프의 3분 딥러닝, 케라스맛

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

Deep learning codes and projects using Python

Sentence Classifications with Neural Networks

Symbolic Music Genre Transfer with CycleGAN

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

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

CNN CBIR benchmark (ongoing)

MTCNN with Motion Detection, on Raspberry Pi with Love

FPGA Accelerator for CNN using Vivado HLS

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

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

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

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

A simple, flexible, and extensible template for PyTorch. It's beautiful.

Person re-ID baseline with triplet loss

Tutorials of deep learning for computer vision.

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

A dataset for estimation of hand pose and shape from single color images.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

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

Compute CNN receptive field size in pytorch in one line

lidc nodule detection with CNN and LSTM network

Simple Convolutional Neural Network Library

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

Artificial Intelligence Learning Notes.

👋 👌 research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs

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"