1321 Open source projects that are alternatives of or similar to Keras Contrib

An automatic ML model optimization tool.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Relax! Flux is the ML library that doesn't make you tensor

Deep learning driven jazz generation using Keras & Theano!

pyclustring is a Python, C++ data mining library.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

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

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Code and other material for the book "Deep Learning and the Game of Go"

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

Koç University deep learning framework.

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"

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Learn to Build a Machine Learning Application from Top Articles

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

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

Neural network visualization toolkit for keras

Concise deep learning for JAX

A simple probabilistic programming language.

💫 Industrial-strength Natural Language Processing (NLP) in Python

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

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

An open-source platform for automating tasks using machine learning models

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

🏖TagEditor - Annotation tool for spaCy

Deep Learning Toolkit for Medical Image Analysis

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

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Julia port of the Python autograd package.

An easy-to-use interface for measuring uncertainty and robustness.

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.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

A cleaner way to build neural networks for PyTorch.

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

Spying using Smartwatch and Deep Learning

Deep Learning for humans

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

A curated list of awesome Distributed Deep Learning resources.

Probabilistic reasoning and statistical analysis in TensorFlow

Lightweight library to build and train neural networks in Theano

How to use TensorLayer

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Deep Learning Computer Vision Algorithms for Real-World Use

Deep Reinforcement Learning for Keras.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Support content for my blog

High-quality implementations of standard and SOTA methods on a variety of tasks.

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

📝 Подборка ресурсов по машинному обучению

Datasets, tools, and benchmarks for representation learning of code.

Dash Demo App - Stock Tickers

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

🐍 Quick reference guide to common patterns & functions in PySpark.

Automatic Differentiation Library for Computational and Mathematical Engineering

Machine Learning in R

R package for exploratory data analysis

scikit-learn: machine learning in Python