778 Open source projects that are alternatives of or similar to Deeplearning_python

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

YOLO for object detection tasks

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

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

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Notes for Deep Learning Specialization Courses led by Andrew Ng.

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

Implementation of Quickdraw - an online game developed by Google

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keras를 이용한 딥러닝 기초 학습

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Service Classification based on Service Description

Hierarchical Attention Networks for document classification

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

🎨 🎨 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/

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Deepfakes Software For All

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

The Places365-CNNs for Scene Classification

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

A Graphical user Interface for deep learning and computer vision over Monk Libraries

Collection of popular and reproducible image denoising works.

Deep Learning on 身份证识别

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

A paper list of object detection using deep learning.

[UNMAINTAINED] Automated machine learning for analytics & production

A Simply Example to show how to use Keras model in multiple processes to do the prediction

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

Deep Learning For Computer Vision With Python

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

DLFlow is a deep learning framework.

Machine Learning Toolkit for Extreme Scale (MaTEx)

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

ICface: Interpretable and Controllable Face Reenactment Using GANs

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

Deep neural networks for predicting CpG methylation

My CS231n lecture notes

DLTK Model Zoo

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

🤖️image regression (base on convnetjs)

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

An Open Source Deep Learning Inference Engine Based on FPGA

Datasets, tools, and benchmarks for representation learning of code.

Spectral Normalization for Keras Dense and Convolution Layers

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)