Pinned Repositories
awesome-courses
:books: List of awesome university courses for learning Computer Science!
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
chocolocked
❤️chocolocked's personal website, thanks to Jalpc
Credit_Card_Fraud
Credit Card Fraud Detection with Kaggle Dataset
github_tutorial
git/github guide: Karl's minimal tutorial
hyperband
Hyerparameter Optimization for PyTorch
Mini_Projects_Inventory
Links to mini projects on data science topics like data wrangling, EDA, ML and data story telling.
ML_LogisticReg
Logistic Regression on Weight vs. Height with Hyperparameter Tuning
RecommendersOfScholarlyPapers
Dataset/literature recommendations with NLP and Bert stuff
pytorch_ehr
source codes based on PyTorch to analyze EHR
chocolocked's Repositories
chocolocked/hyperband
Hyerparameter Optimization for PyTorch
chocolocked/RecommendersOfScholarlyPapers
Dataset/literature recommendations with NLP and Bert stuff
chocolocked/Mini_Projects_Inventory
Links to mini projects on data science topics like data wrangling, EDA, ML and data story telling.
chocolocked/awesome-courses
:books: List of awesome university courses for learning Computer Science!
chocolocked/chocolocked
❤️chocolocked's personal website, thanks to Jalpc
chocolocked/Credit_Card_Fraud
Credit Card Fraud Detection with Kaggle Dataset
chocolocked/DataChallenge_relax
User engagement data analysis
chocolocked/DataChallenge_ultimate
1) Time Series Analysis of usages 2) statistical testing and 3) modeling of bike sharing data.
chocolocked/DataWrangling_JsonMiniProject
A mini data wrangling exercise on Json file
chocolocked/DS_learn
Data science related learning
chocolocked/DSComputing
Some experiments/explorations related to Data Science Computing. Especially covid-19 projections with RNN, and visualizations with interactive map tracker and predictions.
chocolocked/EHRVis
An implementation of 'RETAIN (NIPS'16)' (Choi et al.) for N-HIS HIRA dataset in Pytorch
chocolocked/ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
chocolocked/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
chocolocked/LinearReg_Boston
Linear Regression on Boston Housing Dataset
chocolocked/LST
chocolocked/ML_Clustering
Identify wine customer clusters based on offers and transactions information
chocolocked/ML_NaiveBayes
Predicting Rotten Tomatoes Fresh Reviews with Naive Bayes
chocolocked/ML_PySpark
Exploring MapReduce and ML on Boston Housing Dataset with PySpark
chocolocked/MTRformsInfoExtraction
chocolocked/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
chocolocked/ocropy
Python-based tools for document analysis and OCR
chocolocked/pyocr
A Python wrapper for Tesseract and Cuneiform
chocolocked/pytorch-pretrained-BERT
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
chocolocked/PyTorch-Tutorial
Build your neural network easy and fast
chocolocked/RefineryDecokingPrediction
Time Series Forecasting
chocolocked/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
chocolocked/Spotify-Readme
A dynamic, customizable, and real-time Spotify now-playing widget that seamlessly integrates with your website or GitHub markdown files!
chocolocked/stellargraph
StellarGraph - Machine Learning on Graphs
chocolocked/temperature_scaling
A simple way to calibrate your neural network.