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Seamlessly integrate LLMs into scikit-learn.
The Hugging Face Course on Transformers for Audio
Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [Findings of ACL 2024]
Scalable machine 🤖 learning for time series forecasting.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A native PyTorch Library for large model training
Tool for benchmarking automated time series forecasting algorithms
Graph Optimiser for Learning and Evolution of Models
Automated modeling and machine learning framework FEDOT
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
YSDA course in Natural Language Processing
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
TimeGPT-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 …
Python framework for automated time series classification, regression and forecasting
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Framework for meta-optimisation in AutoML tasks
Open Machine Learning course
🎓 Path to a free self-taught education in Computer Science!
Полезные советы для open-source разработок (в том числе в области AI/ML)
Машинное обучение на ФКН ВШЭ
A curated list of awesome frameworks, libraries and software for the Java programming language.
Design Pattern Examples in C#