ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.
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🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
- attention
- pytorch
- paper
- cbam
PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.
A concise but complete full-attention transformer with a set of promising experimental features from various papers
- artificial-intelligence
- deep-learning
- attention-mechanism
- transformers
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
- tensorflow
- tensorflow-lite
- openvino
- edgetpu
Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction method. 🤝🤖 It integrates various technologies like Whisper, Linly, Microsoft Speech Services, and SadTalker talking head generation system. 🌟🔬
Various custom nodes for ComfyUI
A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
- yolov5
- backbone
- pytorch
- transformer
A CLI text-to-speech tool using the Kokoro model, supporting multiple languages, voices (with blending), and various input formats including EPUB books and PDF documents.
- kokoro
- kokoro-tts
- python
- tts
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
- deep-learning
- artificial-neural-networks
- continual-learning
- lifelong-learning
Access a database of word frequencies, in various natural languages.
Visual Novel Character Creation Suite is a comprehensive tool for creating character sprites for visual novels. It allows you to create unique characters with a consistent appearance across all images, which was previously a challenging task when using neural networks.
Pytorch implementation of various Knowledge Distillation (KD) methods.
- kd-methods
- knowledge-transfer
- knowledge-distillation
- kd
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
- convolutional-networks
- deep-learning
- yolo2
- realtime
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
A state-of-the-art semi-supervised method for image recognition
- deep-learning
- semi-supervised-learning
- nips-2017
- tensorflow
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
- pytorch
- pytorch-lightning
- pytorch-lightning-template
- best-practices
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
Implementation of various topic models
TranslatedKaiwu engineering-assisted design: ideas are first expressed on a canvas, and multimodal AI understands the design requirements to generate concept images and output engineering goals.
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