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A curated list of awesome Machine Learning frameworks, libraries and software.
The world's simplest facial recognition api for Python and the command line
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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,…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Open source platform for the machine learning lifecycle
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Deep learning library featuring a higher-level API for TensorFlow.
Ready-to-run Docker images containing Jupyter applications
Easily migrate your codebase from one framework or language to another.
TensorFlow Neural Machine Translation Tutorial
🌎 Simple and ready-to-use tutorials for TensorFlow
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
Machine Learning meets ketosis: how to effectively lose weight
[OBSOLETE - see readme] A tool for creating GIF screencasts of a terminal, with key presses overlaid.
Download the entire Wayback Machine archive for a given URL.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Bare bone examples of machine learning in TensorFlow
A simple interface for editing natural photos with generative neural networks.
Index your Gmail Inbox with Elasticsearch
A Python library that provides an easy way to identify devices like mobile phones, tablets and their capabilities by parsing (browser) user agent strings.
Generate bootstrapped confidence intervals for A/B testing in Python.
Python script to import issues from one repository into another, either one at a time or all of them at once.