A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
The Python Code Tutorials
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A framework for data augmentation for 2D and 3D image classification and segmentation
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
The book every data scientist needs on their desk.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
SystemVerilog SoC implementing MicroCNN accelerator on the Tang Nano 20K for BloodMNIST image classification.
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control