Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
updated at May 10, 2024, 10:47 a.m.
Notebooks and code for the book "Introduction to Machine Learning with Python"
updated at May 10, 2024, 10:33 a.m.
Examples of Machine Learning code using Comet.ml
updated at May 9, 2024, 6:11 p.m.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
updated at May 9, 2024, 4:40 a.m.
Python package for Bayesian Machine Learning with scikit-learn API
updated at May 5, 2024, 7:04 p.m.
Efficient Image Captioning code in Torch, runs on GPU
updated at May 4, 2024, 8:36 p.m.
You can Learn Basic Machine learning Techniques from here
updated at May 3, 2024, 7:46 a.m.
A Julia package for Gaussian Processes
updated at April 24, 2024, 3:44 p.m.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
updated at April 15, 2024, 5:20 a.m.
Flight_Fare_Prediction
updated at April 6, 2024, 7:59 p.m.
Tools, wrappers, etc... for data science with a concentration on text processing
updated at April 5, 2024, 5:57 p.m.