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🦜🔗 Build context-aware reasoning applications
Learn OpenCV : C++ and Python Examples
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
This repository contains the source code for the paper First Order Motion Model for Image Animation
LAVIS - A One-stop Library for Language-Vision Intelligence
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Light-weight Single Person Pose Estimator
Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" (CVPR 2019, T-PAMI 2021)
[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN
A Simple pytorch implementation of GradCAM and GradCAM++
A series of notebooks describing how to use YOLO (darkflow) in python
『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)
ICR - Automated and Intelligent Company Report Built in Python (by @firmai)
Open source traditional chinese handwriting dataset.
A tutorial on training a DarkNet YOLOv4 model for the CrowdHuman dataset
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
Using Generative AI to generate FAQ from descriptions
Hands-on tutorial of deep learning in Keras (Python)
Project for Digital Image Processing