- new york city
Stars
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A Javascript / Node.JS port of NumPy's multivariate_normal
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
React Three Fiber, Threejs, Nextjs starter
The fundamental package for scientific computing with Python.
A Python package providing buffer compression and transformation codecs for use in data storage and communication applications.
π³ A curated list of ground-truth forest datasets for the machine learning and forestry community.
β‘οΈ A fast 2kB low-level WebGL API.
π¦ Zero-configuration bundler for tiny modules.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
interactive multi-dimensional data-driven web maps
Scalable WebGL-based scatter plot library build with Regl
react hook for keeping track of descendant components and their relative indeces
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π» Bear necessities for state management in React
Open Graph Image as a Service - generate cards for Twitter, Facebook, Slack, etc
GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu
Source materials supporting Stripe Climate carbon removal purchases (http://stripe.com/climate)
application for soliciting carbon removal procurement
datasets, tools, explainers, and commentary
All Algorithms implemented in Python
Data science environments, for collaboration. β¨