seongsikpark Goto Github PK
Name: Seongsik Park
Type: User
Company: Korea Institute of Science and Technology
Bio: Researcher @ Korea Institute of Science and Technology
Location: Seoul
Name: Seongsik Park
Type: User
Company: Korea Institute of Science and Technology
Bio: Researcher @ Korea Institute of Science and Technology
Location: Seoul
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
My C++ deep learning framework & other machine learning algorithms
TensorFlow code and pre-trained models for BERT
BERT-related papers
Simulation of spiking neural networks (SNNs) using PyTorch.
BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing
Play deep learning with CIFAR datasets
Reading Wikipedia to Answer Open-Domain Questions
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Visualizations for machine learning datasets
Folder / directory structure options and naming conventions for software projects
[NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Interactive Tools for Machine Learning, Deep Learning and Math
A Software Framework for Neuromorphic Computing
Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA (DATE-19)
Memory Networks implementations
Benchmark framework of synaptic device technologies for a simple neural network
Models and examples built with TensorFlow
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
Neuromorphic computing papers
Comprehensive Python Cheatsheet
Quantized Memory-Augmented Neural Networks (AAAI-18)
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Supervised Spiking Network
PyTorch implementation of SLAYER for training Spiking Neural Networks
Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)
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.