Lists (7)
Stars
Scalable machine 🤖 learning for time series forecasting.
Efficient Triton Kernels for LLM Training
High performance HTML and CSS renderer powered by WGPU
A web browser that plays old world blues to build new world hope
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Polars Cookbook, Published by Packt
A comprehensive solution for monitoring your AI models in production
A Multipurpose Library for Synthetic Time Series Generation in Python
Links to Belarusian NLP and Speech resources
A Python toolkit for rule-based/unsupervised anomaly detection in time series
A high-performance implementation of Wilkinson formulas for Python.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Enhanced ChatGPT Clone: Features Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, langchain, D…
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
A private messenger for Android.
DNS over HTTPS config profiles for iOS & macOS
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
A header-only C++ library for sketching in randomized linear algebra
A high-performance C++ library for randomized numerical linear algebra
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Fast, flexible and easy to use probabilistic modelling in Python.
Source code for remover.visiblelabs.org