refaniefs
currently trying my hands in data science, might revert back to building physics or do another building physics x data science too. also, sushi is good.
Indonesia
refaniefs's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
PaddlePaddle/PaddleNLP
π Easy-to-use and powerful NLP and LLM library with π€ Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including πText Classification, π Neural Search, β Question Answering, βΉοΈ Information Extraction, π Document Intelligence, π Sentiment Analysis etc.
stanfordnlp/GloVe
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
fastnlp/fastNLP
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
mobolic/facebook-sdk
Python SDK for Facebook's Graph API
abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
adeshpande3/LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
xuyige/BERT4doc-Classification
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``
kitloong/nextjs-dashboard
A Next.JS boilerplate with the famous Open Source Boostrap Admin Template, CoreUI.
IndoNLP/indonlu
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
guillermo-navas-palencia/optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
rizalespe/Dataset-Sentimen-Analisis-Bahasa-Indonesia
Repositori ini merupakan kumpulan dataset terkait analisis sentimen Berbahasa Indonesia. Apabila Anda menggunakan dataset-dataset yang ada pada repositori ini untuk penelitian, maka cantumkanlah/kutiplah jurnal artikel terkait dataset tersebut. Dataset yang tersedia telah diimplementasikan dalam beberapa penelitian dan hasilnya telah dipublikasikan pada artikel/paper ilmiah.
harblaith7/Neo4j-Crash-Course
tonio73/dash-to-react
Comparison of implementing a dashboard in Plotly Dash or in pure React.js using Plotly.js
neo4j-graphacademy/app-python
https://graphacademy.neo4j.com/courses/app-python
Mubeen31/Covid-19-Dashboard-in-Python-by-Plotly-Dash
philschmid/deep-learning-habana-huggingface
devildances/TwitterSentimentAnalysis_Final_Project
Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.
imcodlaw/hotel-review-sentiment-analysis-in-indonesian
Sentiment analysis of hotel reviews in Bahasa Indonesia (Indonesian) using indoBERT
ShinyQ/Final-IFest-2021_Analisis-Sentimen-Kebijakan-PPKM-Pemerintah-IndoBERT-IndoBERTweet
DAC Unpad 2021 Final
AGiannoutsos/Twitter-Sentiment-Analysis-with-LSTMs-ELMo
Twitter Sentiment analysis using RNS like LSTMs, GRUs and enhancing the performance with ELMo embeddings and a self-attention model
irfanhanif/Mira
Natural Language Sentence Classification Using Global Vectors for Word Representations (GloVe), Convolutional Neural Networks, and Transfer Learning for Chatbots Application
katoch99/Twitter-Emotion-Recognition
With the use of Recurrent Neural Networks, a model is created and trained to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions β love, fear, joy, sadness, surprise and anger. Using TensorFlow as the machine learning framework, this multi class classification problem of the natural language processing domain is solved.
mjain72/Sentiment-Analysis-using-Word2Vec-and-LSTM
We will do sentiment analysis using Google's pre-trained word2vec model
sivi-shahab/FTDS-HACKTIV8-Batch006