Tha-bang!'s Projects
L. Perronnet, M.E. Vilarchao, G. Hucher, D.E. Shulz, G. Peyré, I. Ferezou. An automated workflow for the anatomo-functional mapping of the barrel cortex. Journal of Neuroscience Methods, 263(1), pp. 145–154, 2016.
Second year computer science university of london
This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach
A collection of algorithms and data structures
This repo is for the ideas for testing out the application of ML on new ideas
Applied Machine Learning Explainability Techniques, published by Packt
Template for an architectural design firm website.
List of AI Residency Programs
A curated list of awesome Machine Learning frameworks, libraries and software.
List of tools & datasets for anomaly detection on time-series data.
Papers, code and datasets about deep learning and multi-modal learning for video analysis
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
Bayesian Deep Learning Benchmarks
Web scraper for finding sure bets. Odds data is extracted from Nordicbet, Unibet and Betway and the script looks for situations where placing bets on 1, X and 2 gives guaranteed money back.
Business Plan Template in LaTeX
climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
Just some code samples I've picked up through my dev time
The 3rd edition of course.fast.ai
Breadth/Depth-First Search/Traversal
Machine Learning Case study on customer segmentation and prediction of groups.
CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs
A Python-embedded modeling language for convex optimization problems.
Differentiable convex optimization layers
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.
Data Science Using Python