579 Open source projects that are alternatives of or similar to Keras Gp

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

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Deep Reinforcement Learning for Keras.

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

Neural network visualization toolkit for keras

Machine learning, in numpy

Deep learning driven jazz generation using Keras & Theano!

Fast and Easy Infinite Neural Networks in Python

Lightweight library to build and train neural networks in Theano

Keras community contributions

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"

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Aspect Based Sentiment Analysis using End-to-End Memory Networks

A High-Quality Real Time Upscaler for Anime Video

A cleaner way to build neural networks for PyTorch.

Text Classification by Convolutional Neural Network in Keras

RadIO is a library for data science research of computed tomography imaging

Learning kernels to maximize the power of MMD tests

Just another DL library

Image Captions Generation with Spatial and Channel-wise Attention

A repository of state-of-the-art deep learning methods in computer vision

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

18.S096 - Applications of Scientific Machine Learning

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

✨Fast Coreference Resolution in spaCy with Neural Networks

List of articles related to deep learning applied to music

My personal notes, presentations, and notebooks on everything Deep Learning.

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

Bayesian Deep Learning: A Survey

A neural network for end-to-end music source separation

The author's officially unofficial PyTorch BigGAN implementation.

Neural Networks that invent their own encryption 🔑

End-to-end training of sparse deep neural networks with little-to-no performance loss.

Anomaly detection for temporal data using LSTMs

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

Brain Modeling Toolkit

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

Video Platform for Action Recognition and Object Detection in Pytorch

Deep Learning for Seismic Imaging and Interpretation

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Accelerate Neural Net Training by Progressively Freezing Layers

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Spying using Smartwatch and Deep Learning

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Deep learning codes and projects using Python

Concise deep learning for JAX

🟣 Object detection of abstract shapes with neural networks

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Theano reimplementation of pixelCNN architecture

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Hummingbird compiles trained ML models into tensor computation for faster inference.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

An automatic ML model optimization tool.

Awesome machine learning model compression research papers, tools, and learning material.

Scala Library/REPL for Machine Learning Research

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.