xinyu1205 / recognize-anything
Open-source and strong foundation image recognition models.
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Open-source and strong foundation image recognition models.
⚠LEIA A ISSUE FIXADA! Repositório do lab Contribuindo em um Projeto Open Source no GitHub da Digital Innovation One.
Practical course about Large Language Models.
10 Weeks, 20 Lessons, Data Science for All!
A set of LangChain Tutorials from my youtube channel
This is a workshop designed for Amazon Bedrock a foundational model service.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合中国宝宝的部署教程
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Learn OpenCV : C++ and Python Examples
Code samples used on cloud.google.com
Jupyter Interactive Notebook
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos
33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU
Taming Transformers for High-Resolution Image Synthesis
Arena-Hard benchmark
Deterministic LLMs Outputs for AI Applications and AI Agents
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Course Files for Complete Python 3 Bootcamp Course on Udemy
High-Resolution Image Synthesis with Latent Diffusion Models