510 Open source projects that are alternatives of or similar to Keras Vis

Deep Reinforcement Learning for Keras.

Lightweight library to build and train neural networks in Theano

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

This toolbox is support material for the book on CNN (http://www.convolution.network).

Deep learning driven jazz generation using Keras & Theano!

Keras community contributions

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

MPI Parallel framework for training deep learning models built in Theano

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

All the slides, accompanying code and exercises all stored in this repo. 🎈

A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

Deep Learning for humans

Machine learning algorithms for many-body quantum systems

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

🥕 Evolutionary Neural Networks in JavaScript

The On-Ramp to Deep Learning

Convolutional AutoEncoder application on MRI images

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

a toolkit for pose estimation using deep learning

Network Intrusion Detection System using Deep Learning Techniques

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Theano implementation of Sequence-to-Sequence Autoencoder

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

深度学习相关代码

Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

a delightful machine learning tool that allows you to train, test, and use models without writing code

🧠 A tool that makes AI easier.

A utility library around PyTorch

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Implementation of the reweighted wake-sleep machine learning algorithm

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Bidirectional Helmholtz Machines

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Documentation:

Deep learning for freehand sketch object recognition

Applying Data Science and Machine Learning to Solve Real World Business Problems

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

No description or website provided.

Gradient based Hyperparameter Tuning library in PyTorch

Machine Learning notebooks for refreshing concepts.

Image classification of wildflowers using deep residual learning and convolutional neural nets

Code for "Variational Neural Machine Translation" (EMNLP2016)

Dilated CNNs for NER in TensorFlow