Highlights
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A high-throughput and memory-efficient inference and serving engine for LLMs
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
✔(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】
[Lumina Embodied AI] 具身智能技术指南 Embodied-AI-Guide
A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..
Fully open reproduction of DeepSeek-R1
Fast and memory-efficient exact attention
✨✨Latest Advances on Multimodal Large Language Models
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Recent weakly supervised semantic segmentation paper
Awesome weakly-supervised image semantic segmentation;scribble,bounding box, point, image tag, and heterogeneous of them. 2016-2025
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
OpenMMLab Foundational Library for Training Deep Learning Models
List of datasets, codes, and contests related to remote sensing change detection
A summary of recent semi-supervised semantic segmentation methods
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
A Change Detection Repo Standing on the Shoulders of Giants
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
Writing AI Conference Papers: A Handbook for Beginners
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
[CVPR 2025 Oral] SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
The new spin-off of Visual Language Navigation.
[ICCV 2023 Oral]: Scaling Data Generation in Vision-and-Language Navigation
Diffusion model papers, survey, and taxonomy