Stars
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
SCB Co-Operative Internship 2026 - Machine Learning Engineer Take-home exam: Fraud Detection with XGBoost
8-week curriculum for AI Builders
Become a cracked AI/ML Research Engineer
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
A complete daily plan for studying to become a machine learning engineer.
PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust, PKBoost manages changing data distributions in fraud detection with a fraud rate of 0.2%. It shows less than 2% degradation und…
Learning material and codes for my Chulalongkorn courses
Ultimate AI research and engineering course
Tensors and Dynamic neural networks in Python with strong GPU acceleration
machine learning and deep learning tutorials, articles and other resources
Implement a reasoning LLM in PyTorch from scratch, step by step
A topic-centric list of HQ open datasets.
This repository covers Implemented projects
R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning
12 Weeks, 24 Lessons, AI for All!
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An AI-boost cross-platform multi-protocol fluent-design concurrent downloader built with Python & Qt.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The simplest, fastest repository for training/finetuning small-sized VLMs.