ymzx's repositories
tutorials-repository
算法学习、工程应用的资源集合 尤其是AI guide或者tutorials
lstm-time-series-forecasting
Use lstm to solve problem of time-series-forecasting
xgboost-pv-forecast
光伏发电预测
chinese-holidays
Calculate Chinese holidays, traditional festivals, and rest days for a specified year.
incomplete-projects
统计**大陆的烂尾楼
A-Mathematical-Theory-of-BPTT
pure mathematical derivation
RNN-Net-Series
Introduce many different RNN network and how to use it in business scenario
3D-Human-Body-Shape
[ICIMCS'2017] Official Code for 3D Human Body Reshaping with Anthropometric Modeling
3D_Anthropometric_Measurement
Determining human body mesurements for accurate tailoring.
animegan2-pytorch
PyTorch implementation of AnimeGANv2
bugs_track_detect_v2.2
base on paddleseg 2.2
CellViT
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
danswer
Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
finetune-sam
sam finetune
gpt-crawler
Crawl a site to generate knowledge files to create your own custom GPT from a URL
metabase
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
MOOSE
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
mqtt
It's a kit of mqtt which based on mqtt-paho.
quivr
🧠 Dump all your files and chat with it using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings 🧠
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.
study_cmake
Eglinux's CMake course notes