https://github.com/bpesquet/mlkatas
(Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills
https://github.com/arturbomtempo-learning/js-challenge
Challenge proposed by Bonieky Lacerda in order to train my JavaScript knowledge.
mini-lang
The example mini programming language written for the "Write a language in a week" series.
https://github.com/amazon-science/dstc12-controllable-conversational-theme-detection
Data & code for DSTC12, Controllable Conversational Theme Detection track
https://github.com/aksw/text2sparql.aksw.org
Webpage of the First International TEXT2SPARQL Challenge
deakin-ai-challenge2021
The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.
6gsmartrrm
AI/ML-powered solutions for joint sub-band allocation and power control in hyper-dense 6G In-Factory subnetworks (InF-S). Optimize spectral efficiency, mitigate interference, and adapt to dynamic environments with advanced AI techniques.
segmenting-subsurface
Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.
hateful_memes-hate_detectron
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. https://arxiv.org/abs/2012.12975
30daymapchallengeqgisperu
Mapatón orientada a compartir mapas temáticos diversos por cada día del mes, empleando software libre de código abierto.
https://github.com/chiragagg5k/neon-t3-starter-kit
Starter Kit for developing a Fullstack Next.js Application with T3 stack and Neondb
deakin-ai-challenge2022
The Deakin Simpsons challenge 2022 is a computer vision competition that is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.
https://github.com/agamiko/tiny-mnist-challenge
Tiny MNIST Challenge for university student's class with example codes in matlab and pytorch.