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 🚀.
Book_2_《可视之美》 | 鸢尾花书:从加减乘除到机器学习,欢迎批评指正
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
This is Andrew NG Coursera Handwritten Notes.
- andrewng
- andrew-ng
- andrew-ng-course
- andrew-ng-machine-learning
Jupyter notebooks from the scikit-learn video series
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
felixge's notes on the various go profiling methods that are available.
”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
A Code-First Introduction to NLP course
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
Debugging, monitoring and visualization for Python Machine Learning and Data Science
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
- mimic-iii
- critical-care
- icu
- physionet
Code repository for O'Reilly book
免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques