Ruben Stefanus's repositories
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
rubentea16
readme profile
data-science-design-patterns
Design Patterns for Data Science
ML-From-Scratch
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.
pyscaffoldext-dsproject
đź’« PyScaffold extension for data-science projects
data-science-from-scratch
code for Data Science From Scratch book
SMART
Smarter Manual Annotation for Resource-constrained collection of Training data
dvc-versioning
example dvc versioning
cheat-sheet-road-map
Data Science Cheatsheet and NLP Road Map
indo-bert-news-classification
Indonesian BERT Fine Tuning News Classification
docker-ml-development
Docker template for Machine Learning development in container
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
text-generation-pytorch
Indonesia Speech Text Generation based on President Jokowi's speech
Image-Classification-LeNet5-CIFAR10
Image Classification, LeNet-5 CNN Architecture, CIFAR10 Dataset
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 ;)
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
nn4nlp-code
Code Samples from Neural Networks for NLP
nn4nlp-concepts
A repository of concepts related to neural networks for NLP
SF-ID-Network-For-NLU
This is the source implementation of ACL2019 accepted paper: A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling(https://www.aclweb.org/anthology/P19-1544).