Pinned Repositories
CARLsim4
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
CARLsim5
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
kexinchenn.github.io
CARLsim4
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
personal_website
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Sparse-Reduced-MSTd-SNN-Model
ABR_controller
ABR_Template
Template app for accessing different features of ABR robot control
Install-OpenCV
shell scripts to install different version of OpenCV in different distributions of Linux
keras-io
Keras documentation, hosted live at keras.io
kexinchenn's Repositories
kexinchenn/kexinchenn.github.io
kexinchenn/Sparse-Reduced-MSTd-SNN-Model
kexinchenn/LEAP
A general purpose Library for Evolutionary Algorithms in Python.
kexinchenn/keras-io
Keras documentation, hosted live at keras.io
kexinchenn/webots
Webots Robot Simulator
kexinchenn/personal_website
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
kexinchenn/CARLsim4
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
kexinchenn/Install-OpenCV
shell scripts to install different version of OpenCV in different distributions of Linux
kexinchenn/ABR_Template
Template app for accessing different features of ABR robot control
kexinchenn/ABR_controller
kexinchenn/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
kexinchenn/mxnet-notebooks
Notebooks for MXNet
kexinchenn/word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.