keras

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Sandbox for training deep learning networks

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

View model summaries in PyTorch!

A Hyperparameter Tuning Library for Keras

Deep learning driven jazz generation using Keras & Theano!

Keras Attention Layer (Luong and Bahdanau scores).

Deep neural network to extract intelligent information from invoice documents.

[IEEE TMI Best Paper Award] Official Implementation for UNet++

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Lightweight nudity detection

Scenarios, tutorials and demos for Autonomous Driving

Graph Neural Networks with Keras and Tensorflow 2.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

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

Machine learning on FPGAs using HLS

Keras model of NSFW detector

Advanced Deep Learning with Keras, published by Packt

Keras Temporal Convolutional Network. Supports Python and R.

Train AI models efficiently on medical images using any framework

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

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Python AutoML for Trading Systems and Sports Betting

NBA sports betting using machine learning

Hyperparameter Experiments with TensorFlow and Keras

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.