141 Open source projects that are alternatives of or similar to C3ae

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

Stocktwits market sentiment analysis in Python with Keras and TensorFlow.

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

書籍「今すぐ試したい！機械学習・深層学習（ディープラーニング）画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。

Graph convolution with tf.keras

sliced-rnn

Fashion item segmentation with deep learning

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Real-time face detection model using YOLOv3 with Keras

Keras implementation of a ResNet-CAM model

Identifying forged signatures using convolutional siamese networks implemented in Keras

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

PyTorch to Keras model convertor

Pruning and other network surgery for trained TF.Keras models.

📃🎉 Additional datasets for tensorflow.keras

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Deep Learning with TensorFlow and Keras

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

PyTorch to Keras model convertor

Recognize Digits using Deep Neural Networks in Google Chrome live!

Примеры для курса "Программирование глубоких нейронных сетей на Python"

A fully automated system that transforms Twitch clips into gaming compilations

No description or website provided.

Music recommender using deep learning with Keras and TensorFlow

Removing the phone from the notorious mirror selfie using deep learning

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

ICDSS Machine Learning Workshop Series: Linear Models

Introducing neural networks to predict stock prices

Text Classification in Turkish Texts with Bert

Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.

Convert simple Keras models to pure Python 🐍+ NumPy

增值税发票OCR识别，使用flask微服务架构，识别type：增值税电子普通发票，增值税普通发票，增值税专用发票；识别字段为：发票代码、发票号码、开票日期、校验码、税后金额等

Identify sounds in short audio clips

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Code for paper "Detection of Flying Honeybees in UAV Videos"

A Thai word tokenization library using Deep Neural Network

An autonomous, vision-based Bebop drone.

📚 Text classification library with Keras

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

Keras-Tensorflow implementation of complex-valued convolutional neural networks

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Matching Networks Tensorflow 2 Implementation for few-shot AD diagnosis

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Deep Learning using Rectified Linear Units (ReLU)

Keras Implementation of the paper Deep HDR Imaging via A Non-Local Network - TIP 2020

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Introduction to Deep Neural Networks with Keras and Tensorflow

Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Using deepLabv3+ to segment humans

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Interpolation-Prediction Networks for Irregularly Sampled Time Series

High Quality Monocular Depth Estimation via Transfer Learning

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

State of the art Chinese Word Segmentation with Bi-LSTMs