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Name: Jeong-Hoe Ku
Type: User
Company: Samsung Elec.
Bio: Samsung Elec. Co. Ltd. AI Center Principal Engineer
Name: Jeong-Hoe Ku
Type: User
Company: Samsung Elec.
Bio: Samsung Elec. Co. Ltd. AI Center Principal Engineer
[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
A clear, concise, simple yet powerful and efficient API for deep learning.
The Java gRPC implementation. HTTP/2 based RPC
[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Python implementation of the IOU Tracker
This repository is here to keep track of some Jupyter Notebooks with some examples and learning material.
Official Kaggle API
Keras implementation of Attention Augmented Convolutional Neural Networks
Keras Implementation of EfficientNets
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Learn OpenCV : C++ and Python Examples
Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"
3D Visualization of an GPT-style LLM
A collection of infrastructure and tools for research in neural network interpretability.
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Content for Udacity's Machine Learning curriculum
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Open MMLab Detection Toolbox and Benchmark
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Companion webpage to the book "Mathematics For Machine Learning"
73.2% MobileNetV3-Large and 67.1% MobileNetV3-Small model on ImageNet
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".
Models and examples built with TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.