Fariz Ikhwantri's repositories
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
babble
A system for generating training labels via natural language explanations
blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
farizikhwantri
Personal profile
RL4LMs
A modular RL library to fine-tune language models to human preferences
joint-lstm-parser
Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
lab1231-algae-prj
algae CO2 and environmental IOT monitoring projects
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)
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"
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
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.
sippycup
SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.
supervised-reptile
Reptile on supervised meta-learning datasets
time_interpret
Unified Model Interpretability Library for Time Series