Starred repositories
101
stars
written in Jupyter Notebook
Clear filter
Examples and guides for using the OpenAI API
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A game theoretic approach to explain the output of any machine learning model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A guidance language for controlling large language models.
💿 Free software that works great, and also happens to be open-source Python.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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! W…
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Automatic extraction of relevant features from time series:
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Visualizations for machine learning datasets
Collection of notebooks about quantitative finance, with interactive python code.
A Bulletproof Way to Generate Structured JSON from Language Models
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Jupyter notebooks for the Natural Language Processing with Transformers book
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
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 go…
Notebooks using the Hugging Face libraries 🤗
Language-Agnostic SEntence Representations
🛠 All-in-one web-based IDE specialized for machine learning and data science.
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Beaker Extensions for Jupyter Notebook
Algorithms for outlier, adversarial and drift detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
InferSent sentence embeddings
Repository containing notebooks of my posts on Medium