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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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
100-Days-Of-ML-Code中文版
A simple screen parsing tool towards pure vision based GUI agent
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Foundational Models for State-of-the-Art Speech and Text Translation
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
PyTorch code and models for the DINOv2 self-supervised learning method.
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Inpaint anything using Segment Anything and inpainting models.
Tutorials for creating and using ONNX models
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…
📚 Jupyter notebook tutorials for OpenVINO™
Metric depth estimation from a single image
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.