riverhell Goto Github PK

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

chinese-vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

darknet

Convolutional Neural Networks

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

easypr

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

end-to-end-for-chinese-plate-recognition

多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet

hyperdl-tutorial

深度学习教程整理 | 干货

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

insightface

Face Analysis Project on MXNet

kaldi

This is the official location of the Kaldi project.

keras-tf-pb

How to convert trained Keras model to a single TensorFlow .pb file and make prediction

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

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

learn-git

first repository to learn git

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

license-plate-recognition

License Plate Recognition For Car With Python And OpenCV

llama

Inference code for LLaMA models

models

Models and examples built with TensorFlow

new-pac

pytorch-yolo-v1

an experiment for yolo-v1, including training and testing.

shadowsocks-windows

A C# port of shadowsocks

smallreptiletraining

Python reptile skill training.

srs

SRS is a RTMP/HLS/WebRTC/SRT/GB28181 streaming cluster, high efficiency, stable and simple.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

step-1-abc

a fresh and urgent mind

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.