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AI platform for computer vision and NLP.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Train and run a computer vision model with 5-10 lines of code.
Package for computer vision using OpenCV 4 and beyond.
Greg (Grzegorz) Surma - Portfolio; Machine Learning, Computer Vision, Self-Driving Cars, AI.
Lightly is a computer vision framework for self-supervised learning.
Pretrain computer vision models on unlabeled data for industrial applications.
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Open source computer vision API based on open source models.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
Test your ability to tell if an image is human or computer generated.
VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.
Post by Travis Tang from DataDrivenInvestor.
Code for Data Science at Olin College, Spring 2014.
German book about applied data science.
Creates or edits images with generative models and visual controls.
Automated Social Science: Language Models as Scientist and Subjects NBER provides machine-learning models, research, training resources, or…
Benchmarking Hallucination Detection Methods in RAG Towards Data Science provides machine-learning models, research, training resources, or…
BS in Data Science & Applications applies AI to data analysis, extraction, visualization, or business intelligence.
A repository of useful data science prompts for ChatGPT.
Codecademy's Data Science provides machine-learning models, research, training resources, or evaluation tools.
Community Curated Data Science Resources provides AI-assisted learning, courses, tutorials, or study support.