mengzhangjian Goto Github PK

2019_campus_apply

:rocket: Full Stack Developer Tutorial，后台技术栈/全栈开发/架构师之路，秋招/春招/校招/面试。 from zero to hero.

advancedeast

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

alpha_container

automatic-corpus-generation

This repository is for the paper "A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check"

bert-multitask-learning

BERT for Multitask Learning

c-_thread_reading

caffe_code_analysis

Caffe_Code_Analysis

cfabooks

useful books

chatglm-efficient-tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

chineseocr

yolo3+ocr

clarity-ai

A simple Perplexity AI clone.

cnn-facial-landmark

Facial landmark detection based on deep convolutional neural network.

cnn_lstm_ctc_tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.

crnn.pytorch

Convolutional recurrent network in pytorch

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

cuda-learning-example

darknet

Convolutional Neural Networks

ddia

《Designing Data-Intensive Application》DDIA中文翻译

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-residual-networks

Deep Residual Learning for Image Recognition

devicehive-audio-analysis

douyin-hot-hub

记录抖音热榜、明星榜、直播榜、音乐榜和品牌榜，每小时更新，按天归档。

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

faical-landmark-detection

firefly

萤火大模型微调

flash-attention

Fast and memory-efficient exact attention

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

fullstack

React/ApolloGraphQL/Node/Mongo demo written in Typescript