AI Grant Open Source AI Projects Program is sponsored by AI Grant. Provides grants for open-source AI projects in the form of cash or compute credits to support innovation in AI and technology.

AI Grant — grants for open source projects Looking for our accelerator program? Check out aigrant. com !

$5,000 - $50,000 in grants for open source projects, no strings attached. Grants can come in the form of compute or cash. abetlen – for their work on llama-cpp-python.

philpax – for their work on the GGUF file format. TySam – for their work on 10-second models. Russell Kaplan and Christopher Sauer , to build and open source an RL agent that learns faster because you can talk to it based on our prototype that beats most other approaches to Montezuma’s Revenge ( paper ).

Kevin Kwok , a fast cross-platform library for hardware-accelerated deep learning in the browser using WebGL ( video ). Jordi Pons , the freesound datasets project ( video ). Patrick Slade , machine learning for motion recognition and trajectory generation of human movement for rehabilitation ( video ).

Oliver Hennigh , predicting steady state fluid flow using deep neural networks ( video ). Manasi Vartak , a system to manage machine learning models ( video ). simulation of many-body quantum systems with neural networks ( video ).

Liam Patrick Atkinson , a neural network to generate puns ( video ). Natalia Mykhaylova , training datasets and source identification algorithms for sensor networks that improve public health ( video ). Mark Wronkiewicz , Majid Mirbagheri and Nicholas Foti , to simulate human brain activity using tools recently development in machine learning ( video ).

Zbigniew Wojna (co-author of Inception-v3, one of the first better-than-humans perception models), object detection and instance segmentation for small objects ( paper ). Flora Ponjou Tasse , turning hand-drawn sketches into 3D objects using generative models ( video ). Radim Rehurek , is going to make gensim (hugely popular open-source library for topic modeling) support many of the latest-and-greatest research papers ( video ).

Byron Knoll, author of cmix , a library that uses deep learning to compress files ( video ). Brian Nord , for using AI to model the physics of strong gravitational lensing ( video ). Samuel Lee , Neal Jean , Tracey Hong and Feiya Shao , Bob Zheng , will make neural networks that detect child abuse in X-Rays ( video ).

Darius Barušauskas , AI to assist doctors interpreting brain stroke scans with 3D Computerized Tomography ( video ). Hannah Davis , creating a dataset of sceneries that evoke different emotional responses ( video ). David Koes , AI that checks for docking of various drugs to accelerate structure-based drug design ( video ).

A. Mira Chung and Hooyeon Lee , use DL to generate art for video games ( video ). Sarah Newman , a series of thought experiments about human values in speculative AI futures ( video ).

Alex Wang , AI that protects you from face recognition systems ( video ). Aidan Gomez , cipher cracking(!) using generative adversarial neural networks ( video ).

Ranjay Krishna , extracting object and relationship classifications from video ( video ). Kaden Hazzard , predicting quantum dynamics from short-time dynamics using machine learning ( video ). Ariel Kanevsky , a DNN algorithm capable of analyzing free tissue transfers and detect abnormal vascular flow within blood vessels ( video ).

Jake Bian , Firebug, for deep learning ( video ). Daniel Soudry , a neural network that predicts the validation error of another neural network ( video ). Tejpal Virdi , John Guibas and Peter Li , use GANs to generate usable and privacy preserving training data.

Ekta Prashnani , a metric to assess image quality consistent with human perception of image quality. Established in 2017 by Nat Friedman and Daniel Gross .