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Machine Learning in Finance: From Theory to Practice Book
A curated list of practical financial machine learning tools and applications.
A lightweight, extensible and fast command palette for astro.
Starter files, final projects, and FAQ for my Ultimate React course
Scrapper and analyzer of shared scooter data
A topic-centric list of HQ open datasets.
Python toolkit for quantitative finance
A sleek, modern, and fully customizable template for your next marketing website.
🏅 Collection of Kaggle Solutions and Ideas 🏅
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
High-performance TensorFlow library for quantitative finance.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
A resource to help you pass system design interview and become good at work 👇
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
The web framework for content-driven websites. ⭐️ Star to support our work!
A resource for learning about Machine learning & Deep Learning
🧮 A collection of resources to learn mathematics for machine learning
lightweight, standalone C++ inference engine for Google's Gemma models.
A complete computer science study plan to become a software engineer.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…