This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. π₯ Also check: https://hackertraining.org
NVIDIA curated collection of educational resources related to general purpose GPU programming.
π₯ LeetCode for PyTorch β practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
A modular Agentic RAG built with LangGraph β learn Retrieval-Augmented Generation Agents in minutes.
Course notes for MIT manipulation class
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
cluster data collected from production clusters in Alibaba for cluster management research
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! π That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
WebGL accelerated JavaScript molecular graphics library
Disaggregated quantization official codebase
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A collection of scripts and notebooks to help you get started quickly.
A continuously updated project to track the latest progress in the field of multi-modal object tracking. This project focuses solely on single-object tracking.
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.
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Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Tutorials and content created by Earth Engine users, for Earth Engine users
A curated list of amazingly awesome repository created and contributed by Indonesian people.
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. π₯ Also check: https://hackertraining.org
Everything you need to know to build your own RAG application
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Keras documentation, hosted live at keras.io
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Official Implementation of "KBLaM: Knowledge Base augmented Language Model"
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
A toolkit for applying LLMs to sensitive, non-public data in offline or restricted environments
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
Comprehensive archive of IBM Qiskit Global Summer School 2026 (QGSS '26) lecture slides, C++/Python lab walkthroughs, code notebooks, reading strategies, and a curated 80+ item Quantum Computing & QML resource collection.
This repository contains the lecture materials, notebooks, code, datasets, assignments, demonstrations, and resources used during the Industry-Oriented AI Foundamentals Training Program conducted in August 2026.
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.
Taller prΓ‘ctico de Google Agent Development Kit (ADK) con Gemini, MCP y multi-agentes
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
SAMS - Scalable Agentic Market Simulator, a next gen AI finance automation paradigm, suitable for high frequency scenario while built for continuous learning and more sophisticated market simulation.
This is a repo with links to everything you'd ever want to learn about data engineering
Differentiable, Hardware Accelerated, Molecular Dynamics