Deephome's starred repositories
leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
lm-hackers
Hackers' Guide to Language Models
YOLOv8-TensorRT
YOLOv8 using TensorRT accelerate !
TensorRT-Alpha
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
ICCV-2023-Papers
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
Awesome-Foundation-Models
A curated list of foundation models for vision and language tasks
Driving-with-LLMs
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
yolov5-opencv-cpp-python
Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
DriveDreamer
[ECCV 2024] DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
OccupancyDETR
OccupancyDETR: Making Semantic Scene Completion as Straightforward as Object Detection
distill-bev
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
DSVT-AI-TRT
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detection(top1),waymo pedestrian 3D Object Detection(top1)
yolov5-openvino-cpp-python
Example of using ultralytics YOLOv5 with Openvino in C++ and Python.