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Automatic extraction of relevant features from time series:
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
An open-source, low-code machine learning library in Python
Example deep learning projects that use wandb's features.
The fastai book, published as Jupyter Notebooks
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Tutorial Sessions for SciPy Con 2019
This repository contains demos I made with the Transformers library by HuggingFace.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Learn ML engineering for free in 4 months!
Official inference library for Mistral models
Acceptance rates for the major AI conferences
Tutorials for creating and using ONNX models
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
A latent text-to-image diffusion model
공공 데이터 조회를 위한 오픈소스 파이썬 라이브러리
🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)