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allennlp

An open-source NLP research library, built on PyTorch.

attentionexplanation

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

babble

A system for generating training labels via natural language explanations

backpack

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

e-snli

farizikhwantri

Personal profile

farizikhwantri.github.io

final_project_team1

fresh

inseq

Interpretability for sequence generation models 🐛 🔍

joint-lstm-parser

Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.

kbbi

Kamus Besar Bahasa Indonesia Edisi IV

lab1231-algae-prj

algae CO2 and environmental IOT monitoring projects

lab1231-sun-prj

Work on scene understanding.

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ner-datasets

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

neural-network-papers

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

prmlt

Pattern Recognition and Machine Learning Toolbox

probabilistic-programming-and-bayesian-methods-for-hackers

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-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch

pytorch_rvae

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

rl4lms

A modular RL library to fine-tune language models to human preferences

rojak-pantau

runexp

A simple tool to run experiments in a complex workflow

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.