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Name: Rommy Hsu

Type: User

Location: Taiwan

Blog: https://rommyhsu.github.io/

Rommy Hsu's Projects

a-simple-chinese-license-plate-generator-and-recognition-framework

A simple code for creating licence plate images and train e2e network

actnn

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

bert-multi-gpu

Multi-GPU version of BERT, implemented with Tensorflow 1.9

bmw-yolov4-training-automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

car-counting-and-speed-estimation-yolo-sort-python

This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

chinesenlpcorpus

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

ckiptagger

CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

cpp

C++ Ideads

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-anpr

Using neural networks to build an automatic number plate recognition system

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dialog-nlu

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU

drontest

Drone CI/CD test

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flask_test

flask test

generative-fusion-decoding

Generative Fusion Decoding (GFD) is a novel framework for integrating Large Language Models (LLMs) into multi-modal text recognition systems like ASR and OCR, improving performance and efficiency by enabling seamless fusion without requiring re-training.

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