Pinned Repositories
AI_Truck
Youtube 视频文案提取，翻译，二次创作后，转为中文新视频，搬运到各大视频平台
Animate124
Animate124: Animating One Image to 4D Dynamic Scene
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
awesome-yolov8-models
Easy-to-use finetuned YOLOv8 models.
BigDL
Fast, distributed, secure AI for Big Data
ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
PythonAiRoad
source code of some articles
hjsybyq's Repositories
hjsybyq/AI_Truck
Youtube 视频文案提取，翻译，二次创作后，转为中文新视频，搬运到各大视频平台
hjsybyq/Animate124
Animate124: Animating One Image to 4D Dynamic Scene
hjsybyq/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
hjsybyq/ComfyUI_IPAdapter_plus
hjsybyq/DAVAR-Lab-OCR
OCR toolbox from Davar-Lab
hjsybyq/DB-GPT
Revolutionizing Database Interactions with Private LLM Technology
hjsybyq/devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
hjsybyq/dify
An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine.
hjsybyq/draw-a-ui
Draw a mockup and generate html for it
hjsybyq/explore-llm-agents
:star: Dive into LLM Agents
hjsybyq/facefusion
Next generation face swapper and enhancer
hjsybyq/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
hjsybyq/Flowise
Drag & drop UI to build your customized LLM flow
hjsybyq/freecontrol
hjsybyq/IP-Adapter
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
hjsybyq/LangChain-Advanced
hjsybyq/Langchain-Chatchat
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
hjsybyq/LlamaIndex-Tutorials
hjsybyq/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
hjsybyq/OOTDiffusion
Official implementation of OOTDiffusion
hjsybyq/PIA
PIA, your Personalized Image Animator. Animate your images by text prompt, combing with Dreambooth, achieving stunning videos. PIA，你的个性化图像动画生成器，利用文本提示将图像变为奇妙的动画
hjsybyq/private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
hjsybyq/promptbench
A unified evaluation framework for large language models
hjsybyq/screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
hjsybyq/StreamDiffusion
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
hjsybyq/TableStructureRec
整理目前开源的表格识别模型，完善前后处理，模型转换为ONNX
hjsybyq/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
hjsybyq/Use-LLMs-in-Colab
🤖 集合众多大模型在Colab上的使用 | LLMs is all you need.
hjsybyq/YOLO-World
Real-Time Open-Vocabulary Object Detection
hjsybyq/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information