1384 Open source projects that are alternatives of or similar to Pywarm

Keras community contributions

Probabilistic reasoning and statistical analysis in TensorFlow

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

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.

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

🏖TagEditor - Annotation tool for spaCy

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

Deep Learning for humans

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

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

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

Learn to Build a Machine Learning Application from Top Articles

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

Concise deep learning for JAX

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

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

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

An automatic ML model optimization tool.

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

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 …

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

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.

Support content for my blog

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

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

Spying using Smartwatch and Deep Learning

Julia port of the Python autograd package.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A simple probabilistic programming language.

Koç University deep learning framework.

How to use TensorLayer

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

📝 Подборка ресурсов по машинному обучению

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

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

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

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

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

A curated list of awesome Distributed Deep Learning resources.

Deep Learning Computer Vision Algorithms for Real-World Use

Deep Learning Toolkit for Medical Image Analysis

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

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

Machine learning metrics for distributed, scalable PyTorch applications.

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

Annotated data.

This is Andrew NG Coursera Handwritten Notes.

Brain Modeling Toolkit

A day to day plan for this challenge. Covers both theoritical and practical aspects

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

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Neural Networks that invent their own encryption 🔑

🐳📊📚 Docker Images tracking the stable Galaxy releases.

Video Platform for Action Recognition and Object Detection in Pytorch

🟣 Object detection of abstract shapes with neural networks

Collection of stats, modeling, and data science tools in Python and R.

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

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

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾