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Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Implement 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 low-code toolkit for building high-quality data visualization apps.
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
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
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.