Tools to Calculate Climate Targets for Financial Portfolios

Document Q&A over The Full Stack's Corpus

Declarative statistical visualization library for Python

STUMPY is a powerful and scalable Python library for modern time series analysis

Visualizer for pandas data structures

These repositories are contributed to by NOAA staff from line offices and/or staff office throughout the organization

LLM training in simple, raw C/CUDA

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

The QuantLib C++ library

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Analysis & visualization of energy & climate scenarios

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Analytics labs notebooks for Statistics and Business School students

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

A python library for user-friendly forecasting and anomaly detection on time series.

List of papers, code and experiments using deep learning for time series forecasting

Probabilistic time series modeling in Python

A unified framework for machine learning with time series

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

Distributed AI with the Ray Framework Course

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

An Open Source Machine Learning Framework for Everyone