Open-source search and retrieval database for AI applications.

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Learn Low Level Design (LLD) and prepare for interviews using free resources.

A complete computer science study plan to become a software engineer.

🐲 Stanford CS234 : Reinforcement Learning

🌲 Stanford CS 228 - Probabilistic Graphical Models

💡 Adversarial attacks on explanations and how to defend them

AI’m Right is an AI-powered platform that revolutionizes studying by generating quizzes, handouts, and searchable lecture videos, using advanced RAG pipelines and multimodal indexing for efficient…

Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

Papers from the computer science community to read and discuss.

Master programming by recreating your favorite technologies from scratch.

Scripts and Approach for Amazon ML Challenge

3 approches for chinese mnist using cnn

🧮 A collection of resources to learn mathematics for machine learning

Explanation to key concepts in ML

A curated list of data engineering tools for software developers

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Stock and Forex market prediction using ML and time-series modelling

Python Backtesting library for trading strategies

Quant/Algorithm trading resources with an emphasis on Machine Learning

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations