Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

RaspberryPi based miniature observatory

Natural language Pandas queries and data generation powered by GPT-3

Google Research

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Efficient and easy to use fractional differentiation transformations for stationarizing time series data in Python.

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

dude uncomplicated data extraction: A simple framework for writing web scrapers using Python decorators

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

Automated Driving in NFS using CNN.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Ergonomic machine learning for everyone.

Visualize and compare datasets, target values and associations, with one line of code.

Deep Learning ❤️ PyTorch

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

📚 Parameterize, execute, and analyze notebooks

Voilà turns Jupyter notebooks into standalone web applications

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Unreal environments for reinforcement learning

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Python Package for scraping NHL Play-by-Play and Shift data

Code for creating an expected goals model for the NHL that takes into account the shooting skill of the shooter.

Contains the code used to create an expected goal model for the National Hockey League (NHL).