Kermit Griffeth's starred repositories
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
chatgpt-web
用 Express 和 Vue3 搭建的 ChatGPT 演示网页
Langchain-Chatchat
Langchain-Chatchat(原Langchain-ChatGLM, Qwen 与 Llama 等)基于 Langchain 与 ChatGLM 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
anything-llm
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
FastGPT
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Baichuan-7B
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
C-CppLearning
C语言与C++学习
RtspServer
RTSP Server , RTSP Pusher
RtspServer
RTSP服务器,支持传输H.264和AAC格式的音视频
gstreamer-example
Gstreamer开发教程。
gstreamer-opencv
opencv + gstreamer simple demo
cpp_streamer
cpp streamer work in dynamic modules for media develop. It include flv/mpegts/rtmp/webrtc modules, and go on developing more modules
GroundingDINO-onnxrun
使用onnxruntime部署GroundingDINO开放世界目标检测,包含C++和Python两个版本的程序
pytorch-onnx-tvm
PyTorch -> ONNX -> TVM for autotuning
TVM_Deploy
TVM 部署及对比多个框架性能,测试加速能力
tvm_cpp_time_evaluator
This project is written in pure C++. The input is a TVM compiled runtime module, and the output will be the evaluated inference time.
tvm_tensorrt
Comparing the inference performance of TVM kernel tuning, Ansor and TensorRT on ResNet
deepstream-6.1
resource comes from deepstream-6.1_6.1.0-1_amd64.deb