LLM101n: Let's build a Storyteller

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

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.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Turns Data and AI algorithms into production-ready web applications in no time.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A Python library that helps data scientists to infer causation rather than observing correlation.

Vizro is a toolkit for creating modular data visualization applications.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Lightning ⚡️ fast forecasting with statistical and econometric models.

Modern Time Series Forecasting with Python, published by Packt

A curated list of gradient boosting research papers with implementations.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

An opinionated list of awesome Python frameworks, libraries, software and resources.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

PyTorch implementations of NVDM, GSM, NTM, NTMR

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

A list of resources such as scholarships, fellowships, and mailing list for helping CS students succeed in their career

Convert Jupyter Notebooks to Web Apps

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

A collection of design patterns/idioms in Python

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.