keras

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

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

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

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

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

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.

ONNXMLTools enables conversion of models to ONNX

A lightweight header-only library for using Keras (TensorFlow) models in C++.

Change Python code while it's running without losing state

Samples and Tools for Windows ML.

torchview: visualize pytorch models

Layers Outputs and Gradients in Keras. Made easy.

Coloring black and white images with deep learning.

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

Interpretability Methods for tf.keras models with Tensorflow 2.x

Training neural models with structured signals.

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

Pretrained model hub for Keras 3.

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

VGGFace implementation with Keras Framework

kapre: Keras Audio Preprocessors

A uniform interface to run deep learning models from multiple frameworks

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

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Wavelet scattering transforms in Python with GPU acceleration

A sign language interpreter using live video feed from the camera.

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Machine Learning inference engine for Microcontrollers and Embedded devices