An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- machine-learning
- predictive-modeling
- islr
- statistical-learning
Repository Index
65,264 visible repositories in the index
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Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
- agentic-ai
- langmem
- mcp
- openai-api
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
- agentic-ai
- agentic-rag
- agents
- rag
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
- machine-learning
- pattern-classification
- machine-learning-algorithms
Everything you need to know to build your own RAG application
- agentic-rag
- chatbot
- llm
- machine-learning
Build a modern LLM from scratch. Every line commented. Explained like we are five.
- attention-mechanism
- deep-learning
- educational
- from-scratch
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
- anki-addon
- spaced-repetition-algorithm
- anki
- deep-learning
Single Shot MultiBox Detector in TensorFlow
Repo for the Deep Learning Nanodegree Foundations program.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
- time-series
- time-series-forecasting
- deep-learning
- forecasting
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
- iccv2019
- ocr
- ocr-recognition
- text-recognition
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
- deep-reinforcement-learning
- qlearning
- deep-learning
- tensorflow-tutorials
Useful functions, tutorials, and other Python-related things
- python-tips
- learning-python
Notes about courses Dive into Deep Learning by Mu Li
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
- deep-learning
- machine-learning
- python
- pytorch
This is Andrew NG Coursera Handwritten Notes.
- andrewng
- andrew-ng
- andrew-ng-course
- andrew-ng-machine-learning
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
- machine-learning
- multivariate-statistics
- pca
- regression
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
- deep-learning
- python3
- dive-into-deep-learning
- tensorflow2
Jupyter notebooks from the scikit-learn video series
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
TensorFlow 最新官方文档中文版
The fast.ai course notebooks
- deep-learning
- fastai
- jupyter-notebooks
- machine-learning
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly