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Name: Seunghyun SEO
Type: User
Bio: deep learning researcher
Location: South Korea
Blog: [email protected]
Name: Seunghyun SEO
Type: User
Bio: deep learning researcher
Location: South Korea
Blog: [email protected]
Personal website: Deep reinforcement learning, computational neuroscience and artificial intelligence.
LSTM and QRNN Language Model Toolkit for PyTorch
🔊 Text-Prompted Generative Audio Model
A Python implementation of global optimization with gaussian processes.
Pytorch starter code for UC Berkeley's cs285 assignments
10x faster matrix and vector operations
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
ctc_beamsearch
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
custom^2 diffusion
Speech Recognition using DeepSpeech2.
Example models using DeepSpeed
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Dota 2 bot that is trained by Deep RL with expert demonstrations
PyTorch Implementations for End-to-End Automatic Speech Recognition
FastFormers - highly efficient transformer models for NLU
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
jupyter blog
📊 A simple command-line utility for querying and monitoring GPU status
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Curate better data for LLMs
A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
Interactive tutorial to build a learning Mario, for first-time RL learners
A variant of Transformer-XL where the memory is updated not with a queue, but with attention
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.
Deep Reinforcement Learning for Multiplayer Online Battle Arena
End-to-end ASR/LM implementation with PyTorch
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.