1301 Open source projects that are alternatives of or similar to Autograd.jl

Spying using Smartwatch and Deep Learning

Probabilistic reasoning and statistical analysis in TensorFlow

Tensors and differentiable operations (like TensorFlow) in Rust

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

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

An automatic ML model optimization tool.

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"

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.

How to use TensorLayer

Automatic Differentiation Library for Computational and Mathematical Engineering

📝 Подборка ресурсов по машинному обучению

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.

Deep Learning Toolkit for Medical Image Analysis

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

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

A cleaner way to build neural networks for PyTorch.

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.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Support content for my blog

🏖TagEditor - Annotation tool for spaCy

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

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

Learn to Build a Machine Learning Application from Top Articles

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Koç University deep learning framework.

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

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

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

Concise deep learning for JAX

A simple probabilistic programming language.

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.

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

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

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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

Deep Learning Computer Vision Algorithms for Real-World Use

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

Keras community contributions

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

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

Data augmentation for NLP

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

An efficient Python implementation of the Apriori algorithm.

Python Cheat Sheet NumPy, Matplotlib

A Lean Persistent Homology Library for Python

A repo for data science related questions and answers

IPython widgets, interactive plots, interactive machine learning

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Anime2Selfie Backend Services - Lambda, Queue, API Gateway and traffic processing