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Jeong-Hoe Ku's Projects

fq-vit icon fq-vit

[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gluon-api icon gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

grpc-java icon grpc-java

The Java gRPC implementation. HTTP/2 based RPC

h-deformable-detr icon h-deformable-detr

[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hawq icon hawq

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

im2latex icon im2latex

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

imageai icon imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

jupyterlearningnotebooks icon jupyterlearningnotebooks

This repository is here to keep track of some Jupyter Notebooks with some examples and learning material.

libra_r-cnn icon libra_r-cnn

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

llm-viz icon llm-viz

3D Visualization of an GPT-style LLM

lucid icon lucid

A collection of infrastructure and tools for research in neural network interpretability.

m2det icon m2det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mediapipe icon mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

ml-from-scratch icon ml-from-scratch

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.

mmdnn icon mmdnn

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.

mobilevit-pytorch icon mobilevit-pytorch

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

models icon models

Models and examples built with TensorFlow

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