Stars
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
A simple screen parsing tool towards pure vision based GUI agent
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Natural Language Processing Tutorial for Deep Learning Researchers
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Best Practices, code samples, and documentation for Computer Vision.
Understanding Deep Learning - Simon J.D. Prince
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
CoTracker is a model for tracking any point (pixel) on a video.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
A library for debugging/inspecting machine learning classifiers and explaining their predictions
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Pytorch0.4.1 codes for InsightFace