microsoft / generative-ai-for-beginners
A 21-lesson Microsoft course teaching how to build generative AI applications, with code examples in Python and TypeScript.
microsoft / generative-ai-for-beginners
microsoft / ai-agents-for-beginners
An 18-lesson beginner course with code samples on building AI agents using Microsoft's agent frameworks and services.
microsoft / AI-For-Beginners
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
chiphuyen / aie-book
Companion repository for Chip Huyen's book AI Engineering, with chapter summaries, study notes, prompt examples, and case studies.
microsoft / ML-For-Beginners
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
NirDiamant / RAG_Techniques
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
Liquid4All / cookbook
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
udlbook / udlbook
Source repository for Simon Prince's textbook Understanding Deep Learning, with LaTeX sources, figures, and Jupyter notebooks.
The-Art-of-Hacking / h4cker
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
facebookresearch / segment-anything
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
NVIDIA / accelerated-computing-hub
NVIDIA's curated collection of interactive GPU computing tutorials, syllabi, and guides covering CUDA, Python, and accelerated libraries.
facebookresearch / sam2
Meta's Segment Anything Model 2 for promptable segmentation in images and videos, with inference code, checkpoints, and example notebooks.
openai / CLIP
A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.
microsoft / Data-Science-For-Beginners
A 10-week, 20-lesson beginner curriculum teaching data science through project-based lessons with quizzes and assignments.
microsoft / mcp-for-beginners
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
DataTalksClub / machine-learning-zoomcamp
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing
This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.
alphacep / vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
py-why / EconML
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.
shsarv / Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
GoogleCloudPlatform / training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
microsoft / edgeai-for-beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
damaiqiangpiao / damai
Damai Maoyan Piaoxingqiu ticket grabbing tech community | Android reverse engineering Frida hook ticket monitor | QQ 955767910
shap / shap
Python library that computes Shapley-value explanations for the predictions of any machine learning model.
jupyter / notebook
Web-based notebook environment for interactive computing, supporting code, text, and output in one document.
microsoft / TinyTroupe
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
benman1 / generative_ai_with_langchain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
martinpacesa / BindCraft
User friendly and accurate binder design pipeline
Azure / AzurePublicDataset
Microsoft Azure Traces
luisguiserrano / manning
Repository for the book Grokking Machine Learning, by Manning Editors
Cyb3r-Monk / Threat-Hunting-and-Detection
Repository for threat hunting and detection queries, etc. for Defender for Endpoint and Microsoft Sentinel in KQL(Kusto Query Language).
PixelML / club-170hx
Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads
AkashSingh3031 / The-Complete-FAANG-Preparation
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.
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
cksystemsteaching / selfie
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
Tanu-N-Prabhu / Python
This repository helps you learn Python and Machine Learning from scratch.
ProsusAI / finBERT
Financial Sentiment Analysis with BERT
EvgSkv / logica
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
stanfordmlgroup / ngboost
Natural Gradient Boosting for Probabilistic Prediction
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
pluralitybook / plurality
Root repository for ⿻數位 Plurality: The Future of Collaborative Technology and Democracy by E. Glen Weyl, Audrey Tang and the Plurality Community
baselkelziye / YTU_Bilgisayar_Muhendisligi_Arsiv
Yıldız Teknik Üniversitesi Bilgisayar Mühendisliği Bölüme Lisans ve Yüksek Lisansa Dair Genel Bilgiler, Ders Notları, Ders slaytları, Örnek Proje. Burada Staj, Erasmus, Yaz Okulu, KOOP gibi Kavramların Süreçlerini ve Detaylarını bulabilirsiniz.
inclusionAI / ling-cookbook
Guide, document and practical tips for getting the most out of the Ling model series.
h2oai / h2o-3
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.
HugoBlox / hugo-theme-academic-cv
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇
huggingface / blog
Public repo for HF blog posts
aeturrell / coding-for-economists
This repository hosts the code behind the online book, Coding for Economists.
The-FinAI / PIXIU
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).
Marigold / universal-portfolios
Collection of algorithms for online portfolio selection
GitIndonesia / awesome-indonesia-repo
A curated list of amazingly awesome repository created and contributed by Indonesian people.
computational-cell-analytics / micro-sam
Segment Anything for Microscopy
microsoft / fabric-samples
Samples and data for Microsoft Fabric Learn content
ncbi / datasets
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
superlinked / VectorHub
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
zorost / AI-Engineering-Lab
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
TaroYamada08 / Hacker
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. 🔥 Also check: https://hackertraining.org
Jev-Engineering / cookbook
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control
dusty-nv / jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
microsoft / PhiCookBook
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
keras-team / keras-io
Keras documentation, hosted live at keras.io