1.microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
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12 Weeks, 24 Lessons, AI for All!
18 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
10 Weeks, 20 Lessons, Data Science for All!
Learn how to develop, deploy and iterate on production-grade ML applications.
Python Data Science Handbook: full text in Jupyter Notebooks
FinRL®: Financial Reinforcement Learning. 🔥
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.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
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.
A game theoretic approach to explain the output of any machine learning model.
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.
A guidance language for controlling large language models.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
12 Weeks, 24 Lessons, IoT for All!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
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:
YSDA course in Natural Language Processing
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
High-Resolution Image Synthesis with Latent Diffusion Models
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
This repository contains demos I made with the Transformers library by HuggingFace.
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 ;)
A collection of various deep learning architectures, models, and tips
QLoRA: Efficient Finetuning of Quantized LLMs
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Quantitative analysis, strategies and backtests
Playing Pokemon Red with Reinforcement Learning
Natural Language Processing Tutorial for Deep Learning Researchers
The "Python Machine Learning (1st edition)" book code repository and info resource
The repository host gives no description.
Precision Medicine Knowledge Graph (PrimeKG)
Tutorials and programming exercises for learning Q# and quantum computing
A library for debugging/inspecting machine learning classifiers and explaining their predictions
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
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》)
llama3 implementation one matrix multiplication at a time
Implementing a Neural Network from Scratch
Segment Anything for Microscopy
links to conference publications in graph-based deep learning
PRML algorithms implemented in Python
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
This repository contains the source code for the paper First Order Motion Model for Image Animation
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Microsoft Quantum Development Kit Samples
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
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).
Instructional notebooks on music information retrieval.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Utility functions for handling MIDI data in a nice/intuitive way.
Synthetic data generators for tabular and time-series data
TensorFlow Tutorials with YouTube Videos
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Debugging, monitoring and visualization for Python Machine Learning and Data Science
TranslatedCAPTCHA recognition
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
:satellite: Simple and ready-to-use tutorials for TensorFlow
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
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.
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
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
The repository host gives no description.
Optimising chemical reactions using machine learning
The repository host gives no description.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
An OCaml kernel for Jupyter (IPython) notebook
Easy pipelines for pandas DataFrames.
Deep Reinforcement Learning for de-novo Drug Design
A Python library modeling pedestrian and bicycle trips over networks.
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.
Research experiments exploring uncommon quant techniques.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.