I am from 🇮🇩, a PhD student in 🗼🗾 . My research interest are
- natural language processing in summarization ✍️ and reading comprehension 📖
- cognitive science 🧠
- machine learning 🤖
Name: Fariz Ikhwantri
Type: User
Company: Tokyo Institute of Technology
Twitter: farizikhwantri
Location: Tokyo, Japan
An open-source NLP research library, built on PyTorch.
LSTM and QRNN Language Model Toolkit for PyTorch
A system for generating training labels via natural language explanations
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Evaluation pipeline for the BabyLM Challenge 2023.
Personal profile
Interpretability for sequence generation models 🐛 🔍
Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
Kamus Besar Bahasa Indonesia Edisi IV
algae CO2 and environmental IOT monitoring projects
Work on scene understanding.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Pattern Recognition and Machine Learning Toolbox
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
An unofficial styleguide and best practices summary for PyTorch
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
A modular RL library to fine-tune language models to human preferences
A simple tool to run experiments in a complex workflow
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.