1patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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78 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
18 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
12 Weeks, 24 Lessons, AI for All!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
10 Weeks, 20 Lessons, Data Science for All!
FinRL®: Financial Reinforcement Learning. 🔥
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Python Data Science Handbook: full text in Jupyter Notebooks
Examples and guides for using the OpenAI API
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. 🔥 Also check: https://hackertraining.org
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Learn how to develop, deploy and iterate on production-grade ML applications.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A High-Quality Real Time Upscaler for Anime Video
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Instructional notebooks on music information retrieval.
A game theoretic approach to explain the output of any machine learning model.
A collection of various deep learning architectures, models, and tips
QLoRA: Efficient Finetuning of Quantized LLMs
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
YSDA course in Natural Language Processing
Quantitative analysis, strategies and backtests
Solve puzzles. Learn CUDA.
This repository contains demos I made with the Transformers library by HuggingFace.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Automatic extraction of relevant features from time series:
Tutorials and programming exercises for learning Q# and quantum computing
12 Weeks, 24 Lessons, IoT for All!
Playing Pokemon Red with Reinforcement Learning
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
No description provided by the repository host.
links to conference publications in graph-based deep learning
Microsoft Quantum Development Kit Samples
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A guidance language for controlling large language models.
High-Resolution Image Synthesis with Latent Diffusion Models
Convert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Implementing a Neural Network from Scratch
Utility functions for handling MIDI data in a nice/intuitive way.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Precision Medicine Knowledge Graph (PrimeKG)
Segment Anything for Microscopy
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! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
No description provided by the repository host.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Synthetic data generators for tabular and time-series data
Neural question generation using transformers
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Wrapper for RDKit's RunReactants to improve stereochemistry handling
Optimising chemical reactions using machine learning
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
open source E-book on statistical physics
Quantum Classification tutorial using Microsoft Quantum Development Kit