-
Aker BP ASA
- Trondheim, Norway
-
00:15
(UTC +02:00) - https://orcid.org/0000-0003-0711-3422
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Starred repositories
All Algorithms implemented in Python
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learโฆ
๐ค Chat with your SQL database ๐. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval ๐.
A Deep Learning based project for colorizing and restoring old images (and video!)
Code samples for my book "Neural Networks and Deep Learning"
Simple, unified interface to multiple Generative AI providers
Super Resolution for images using deep learning.
A Python implementation of global optimization with gaussian processes.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second ๐
A library to generate LaTeX expression from Python code.
Efficiently computes derivatives of NumPy code.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
Machine Learning algorithm implementations from scratch.
Small scale machine learning projects to understand the core concepts . Give a Star ๐If it helps you. BONUS: Interview Bank coming up..!
MLOps using Azure ML Services and Azure DevOps
All the slides, accompanying code and exercises all stored in this repo. ๐
Use late-interaction multi-modal models such as ColPali in just a few lines of code.
GEKKO Python for Machine Learning and Dynamic Optimization
Table analysis in Tkinter using pandas DataFrames.
A framework for modeling and simulating dynamical systems
constrained nonlinear optimization for scientific machine learning, UQ, and AI
Deep Learning for Seismic Imaging and Interpretation