Top 1371 keras open source projects

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

Keras implementation of BERT with pre-trained weights

Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV

Training neural models with structured signals.

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

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

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Coloring black and white images with deep learning.

Boltzmann Machines in TensorFlow with examples

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Play deep learning with CIFAR datasets

VGGFace implementation with Keras Framework

TensorFlow and Deep Learning Tutorials

Keras version of Realtime Multi-Person Pose Estimation project

kapre: Keras Audio Preprocessors

Header-only library for using Keras models in C++.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Setup and customize deep learning environment in seconds.

DenseNet implementation in Keras

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

A deep learning model for style-specific music generation.

PyTorch to Keras model convertor

Keras model of NSFW detector

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Samples and Tools for Windows ML.

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.

WTTE-RNN a framework for churn and time to event prediction

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Food Classification with Deep Learning in Keras / Tensorflow

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

A best practice for deep learning project template architecture.

Neural Nets for Nudity Detection and Censoring

實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation)

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

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

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Implementation of NIMA: Neural Image Assessment in Keras

Code, exercises and tutorials of my personal blog ! 📝

Kaggle datascience bowl 2017

Reversi reinforcement learning by AlphaGo Zero methods.

This is a bunch of code to port Keras neural network model into pure C++.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Keras implementation of yolo v3 object detection.

CRF-RNN Keras/Tensorflow version

猫狗大战

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Deep Speaker: an End-to-End Neural Speaker Embedding System.

An implementation of Grad-CAM with keras

Deep Reinforcement Learning for Keras.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.