Yongseok Choi's repositories
aimet-1
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
bitcoinbook
Mastering Bitcoin - Unlocking digital currencies - Early Release Draft
d2l-en
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
deep-learning-from-scratch
『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep_learning_tutorial
[ko] 패스트캠퍼스 강의 자료
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
deeplearnjs
A hardware-accelerated machine intelligence library for the web.
hw
RTL, Cmodel, and testbench for NVDLA
keras-surgeon
Pruning and other network surgery for trained Keras models.
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
ML-From-Scratch
Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.
mobile-deep-learning
This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.
protobuf
Protocol Buffers - Google's data interchange format
sceneparsing
Development kit for MIT Scene Parsing Benchmark
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
TensorSlow
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
tpu
Reference models and tools for Cloud TPUs.