JQGoh/hierarchicalforecast-feedstock
A conda-smithy repository for hierarchicalforecast.
A computational scientist venturing in the world of software development
A conda-smithy repository for hierarchicalforecast.
A conda-smithy repository for neuralforecast.
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Scalable and user friendly neural :brain: forecasting algorithms.
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 capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Repository for website https://jqgoh.github.io
Lightning ⚡️ fast forecasting with statistical and econometric models.
Python Library for FeatureOps
🦜🔗 Build context-aware reasoning applications
Tesseract Open Source OCR Engine (main repository)
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Datasets, Transforms and Models specific to Computer Vision
Prepping tables for machine learning
Deep Learning for humans
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
Open source platform for the machine learning lifecycle
Open Source Computer Vision Library
A scikit-learn based module for multi-label et. al. classification
scikit-learn: machine learning in Python
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Building a multivariate time series pipeline for forecasting
A python library for user-friendly forecasting and anomaly detection on time series.
An interactive git visualization to challenge and educate!
Statsmodels: statistical modeling and econometrics in Python