Pinned Repositories
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scutjy2015@163.com 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
riverhell's Repositories
riverhell/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
riverhell/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
riverhell/darknet
Convolutional Neural Networks
riverhell/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
riverhell/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
riverhell/EasyPR
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
riverhell/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
riverhell/HyperDL-Tutorial
深度学习教程整理 | 干货
riverhell/HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
riverhell/insightface
Face Analysis Project on MXNet
riverhell/kaldi
This is the official location of the Kaldi project.
riverhell/keras-tf-pb
How to convert trained Keras model to a single TensorFlow .pb file and make prediction
riverhell/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
riverhell/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
riverhell/learn-git
first repository to learn git
riverhell/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
riverhell/License-Plate-Recognition
License Plate Recognition For Car With Python And OpenCV
riverhell/llama
Inference code for LLaMA models
riverhell/new-pac
riverhell/pytorch-YOLO-v1
an experiment for yolo-v1, including training and testing.
riverhell/shadowsocks-windows
A C# port of shadowsocks
riverhell/srs
SRS is a RTMP/HLS/WebRTC/SRT/GB28181 streaming cluster, high efficiency, stable and simple.
riverhell/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
riverhell/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
riverhell/tensorflow-yolov3
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
riverhell/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
riverhell/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
riverhell/wvp-GB28181-pro
WEB VIDEO PLATFORM是一个基于GB28181-2016标准实现的网络视频平台，支持NAT穿透，支持海康、大华、宇视等品牌的IPC、NVR、DVR接入。支持国标级联，支持rtsp/rtmp等视频流转发到国标平台，支持rtsp/rtmp等推流转发到国标平台。
riverhell/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
riverhell/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite