Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Text and supporting code for Think Stats, 2nd Edition

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

Feature exploration for supervised learning

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Object Detection and Image Segmentation with Detectron2

Indonesian Language Models and its Usage

Image Captioning based on Bottom-Up and Top-Down Attention model

Basics of programming: algorithms, data structures, object oriented programming

Hyperparameter analysis for Image Captioning using LSTMs and Transformers