1231 Open source projects that are alternatives of or similar to Keras

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

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 …

🏖TagEditor - Annotation tool for spaCy

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Spying using Smartwatch and Deep Learning

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

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A cleaner way to build neural networks for PyTorch.

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Keras community contributions

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

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

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An automatic ML model optimization tool.

Concise deep learning for JAX

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.

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

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

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

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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.

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Julia port of the Python autograd package.

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

Probabilistic reasoning and statistical analysis in TensorFlow

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

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

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

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

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

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

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

A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.

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

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

🧑‍🏫 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, ... 🧠

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

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.

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The data journalism platform with built in training

Free Resources For Data Science created by Shubham Kumar

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

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

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