Multimodal AI workloads: batch inference, model training and online serving.

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

A light-weight, flexible, and expressive statistical data testing library

🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

A universal time series representation learning framework

A curated list of papers in the intersection of multimodal LLMs and time series analysis. https://mllm-ts.github.io/paper/MLLMTS_Survey.pdf

uGMM-NN: Univariate Gaussian Mixture Model Neural Network

TSCMamba: Mamba meets multi-view learning for time series classification

Scalable Time Series Visualization in Jupyter Notebook

PyTorch code and models for VJEPA2 self-supervised learning from video.

Code for "Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models" (NeurIPS 2025, Spotlight)

Parallel S3 and local filesystem execution tool.

Benchmark time series data sets for PyTorch

Evaluation tools for time series machine learning algorithms.

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

This repo contains a new way to use bloom filters to do lossless video compression

A unified framework for machine learning with time series

N-D labeled arrays and datasets in Python

A Python package for easy multiprocessing, but faster than multiprocessing

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

Tabular Deep Learning Library for PyTorch

DFloat11: Lossless LLM Compression for Efficient GPU Inference

Discussion, problems and donations of data hosted at

Causal Inference in Python

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Uplift modeling and causal inference with machine learning algorithms

Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec

MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification [AAAI 2025]