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-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.
mkl-dnn
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
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.
nnvm
Intermediate Computational Graph Representation for Deep Learning Systems
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.