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国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
Modeling, training, eval, and inference code for OLMo
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用
《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
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
zhzhuangxue / DeepLearningSystem
Forked from chenzomi12/AISystemDeep Learning System core principles introduction.
You Only Look Once for Panopitic Driving Perception.(MIR2022)
🔥🔥🔥 专注于YOLO11,YOLOv8、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
Best Practices, code samples, and documentation for Computer Vision.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet
python scripts to convert labelme-generated-jsons to voc/coco style datasets.
Convert CCPD to COCO format, including bounding box, segmentation mask, segmentation map.
Code Sample of Book "Effective Python: 59 Specific Ways to Write Better Pyton" by Brett Slatkin
2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.
Bolt is a deep learning library with high performance and heterogeneous flexibility.
Scalable Multi-Agent RL Training School for Autonomous Driving
code for participation in ICDAR2021 Table Recognition track (Team Name: LTIAYN = Kaen Context)
基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。
😎 Awesome lists about all kinds of interesting topics
Image-to-Image Translation in PyTorch