Stars
A set of constraints for a self-evolving agentic system that will work on any LLM.
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)
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
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.
Visualize and compare datasets, target values and associations, with one line of code.
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.