Yusuke Kanebako's starred repositories
llm-lora-classification
LLMとLoRAを用いたテキスト分類
awesome-ai-agents
A list of AI autonomous agents
Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Multimodal-GPT
Multimodal-GPT
stable-diffusion-webui
Stable Diffusion web UI
awesome-Vision-and-Language-Pre-training
Recent Advances in Vision and Language Pre-training (VLP)
Caption-Anything
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
VideoCrafter
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
ControlNet-v1-1-nightly
Nightly release of ControlNet 1.1
DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
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.
whisper.cpp
Port of OpenAI's Whisper model in C/C++
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Deep_White_Balance
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.