ZhenhuaZJim's starred repositories
recognize-anything
Open-source and strong foundation image recognition models.
CLIP_prefix_caption
Simple image captioning model
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
searchformer
Official codebase for the paper "Beyond A* Better Planning with Transformers via Search Dynamics Bootstrapping".
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
LanguageAgentTreeSearch
[ICML'24] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"
mistral-inference
Official inference library for Mistral models
FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
open-interpreter
A natural language interface for computers
GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Semantic-Segment-Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
segment-anything
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.