GokuMohandas / Made-With-ML
A free course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications in Python.
GokuMohandas / Made-With-ML
UFund-Me / Qbot
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
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.
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
higgsfield-ai / higgsfield
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.
NirDiamant / agents-towards-production
Code-first Jupyter tutorials for building and deploying production-grade GenAI agents, from prototype to enterprise deployment.
DataTalksClub / mlops-zoomcamp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
GoogleCloudPlatform / generative-ai
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
alphacep / vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
datawhalechina / base-llm
从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
lavine888 / CityU-CS-Notes
Course notes & materials based on my CityU MSc CS journey. Includes study notes from 10 courses and resources shared by peers. Hope it helps fellow students — Star & PRs welcome. 基于香港城市大学 MSc CS 修课经历整理的课程笔记与资料。收录 10 门课程的学习沉淀，以及课程社群中同学们分享的资料。希望能帮到同样在学的同学，欢迎 Star 与 PR。
TingsongYu / PyTorch-Tutorial-2nd
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
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.
theislab / single-cell-best-practices
https://www.sc-best-practices.org
simpler-env / SimplerEnv
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
calmrocks / ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
rasbt / deeplearning-models
A collection of various deep learning architectures, models, and tips
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
apache / hamilton
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Tanu-N-Prabhu / Python
This repository helps you learn Python and Machine Learning from scratch.
jexp / neo4jev
Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships
inclusionAI / ling-cookbook
Guide, document and practical tips for getting the most out of the Ling model series.
evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
freechipsproject / chisel-bootcamp
Generator Bootcamp Material: Learn Chisel the Right Way
elastic / elastic-labs
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
tue-mps / eomt
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
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
mhmd-81 / mlops
just to learn
skorch-dev / skorch
A scikit-learn compatible neural network library that wraps PyTorch
MARKTECHPOST-AI-MEDIA-INC / AI-Agents-Projects-Tutorials
Multi-agent systems, memory, planning, reasoning loops
GoogleCloudPlatform / vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
statmike / gcp-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
cfgranda / ps4ds
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
jMetal / jMetalPy
A framework for single/multi-objective optimization with metaheuristics
abhisheks008 / DL-Simplified
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
deepset-ai / haystack-cookbook
👩🏻🍳 A collection of example notebooks using Haystack
Bennett-MLOps-Lab / SCSE3040-Lab
Lab Assignment Files
microsoft / ConsumptionCentral-for-Microsoft-Copilot
One Power BI template for Microsoft Copilot credit consumption and cost - Cowork/Work IQ, Copilot Studio, GitHub Copilot and Azure AI Foundry.
aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
GoogleCloudPlatform / asl-ml-immersion
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Isi-dev / Google-Colab_Notebooks
A Collection of Google Colab Notebooks for various projects
guipsamora / pandas_exercises
A collection of Jupyter notebook exercises with instructions and solutions for practicing pandas skills by topic.