The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
Repository Index
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Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through the Scenario MCP, plus expert teams that drive Blender, Maya, ZBrush, Unreal, and Unity.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
Easy activity tracking for models - similar to Github's Public Activity
- activerecord
- ruby
- rails
- activity-stream
An authorization library that supports access control models like ACL, RBAC, ABAC in Node.js and Browser
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
A Blender add-on to import models from google maps
Caffe models in TensorFlow
Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.
Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
- controllable-generation
- foundation-models
- image-generation
- text-rendering
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
- 3d-tiles
- gltf
- ogc
- terrain
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
- asset-allocation
- portfolio
- portfolio-optimization
- quantitative-finance
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
- kv-cache
- llm-inference
- local-llm
- quantization
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Form objects decoupled from models.
Making Eloquent models translatable
A git prepare-commit-msg hook for authoring commit messages with LLMs.
- cli
- git
- githook
- large-language-models
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Get and set relations (one-to-one, one-to-many, many-to-one) for Backbone models
Typegoose - Define Mongoose models using TypeScript classes.
This package contains deep learning models and related scripts for RoseTTAFold