Repository Index

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

• ml
• data-science
• machine-learning
• machine-learning-algorithms

Learn how to develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment

• llm
• chatglm
• internlm2
• llama3

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

• tensorflow
• scikit-learn
• machine-learning
• python

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

• agent
• agent-framework
• agents
• ai-agents

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks

• ai
• mlsys
• aiinfra
• aisys

TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.

• nlp
• machine-learning
• deep-learning

Companion webpage to the book "Mathematics For Machine Learning"

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

• machine-learning
• mlops
• model-deployment
• model-monitoring

Learn ML engineering for free in 4 months! Register here 👇🏼

• course
• deployment
• docker
• fastapi

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

PRML algorithms implemented in Python

• jupyter
• prml
• notebook
• python

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

• sagemaker
• aws
• reinforcement-learning
• machine-learning

The repository host gives no description.

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

• coursework
• fraud-detection
• introduction-to-machine-learning
• machine-learning

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

• tensorflow-2
• tensorflow-lite
• on-device-ml
• model-quantization

TensorFlow Lite models for MIRNet for low-light image enhancement.

• tinyml
• tflite
• tensorflow2
• computer-vision

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

• ios
• coreml
• coreml-framework
• swift