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An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Code for "High-Precision Model-Agnostic Explanations" paper
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
List of open-source technologies that help in the process of building a pipeline for CG and VFX productions
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets.
A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
All code snippets from blog post tutorials on fullstackpython.com.
Machine reading comprehension on clinical case reports
Unsupervised concept extraction from clinical text
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Deep learning codes and projects using Python
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A library for efficient similarity search and clustering of dense vectors.
An open source python library for automated feature engineering
A C++ standalone library for machine learning
Global Climate Statistical Analysis Library (GCSAL) allows viewing of climate statistics formulated from over 60 years of data acquisition at 3000 locations around the world.
Tutorials and training material for the H2O Machine Learning Platform
InferSent sentence embeddings
Knowledge graph Entity and Word Embeddings for Retrieval
Lime: Explaining the predictions of any machine learning classifier
A Python library for automating interaction with websites.
The official source code for the python-mechanize project
Open source platform for the machine learning lifecycle
H2O.ai Machine Learning Interpretability Resources
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.