jpichat

jpichat's Stars

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook61.6k52511131.3k

• py-why/dowhy

  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 graphical models and potential outcomes frameworks.

  Language:Python7k136469923

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.6k60500318

• vincentdoerig/latex-css

  LaTeX.css is a CSS library that makes your website look like a LaTeX document

  Language:HTML2.8k2922123

• dabochen/spreadsheet-is-all-you-need

  A nanoGPT pipeline packed in a spreadsheet

  2k154119

• yuqinie98/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  Language:Python1.5k13111259

• raminmh/liquid_time_constant_networks

  Code Repository for Liquid Time-Constant Networks (LTCs)

  Language:Python1.4k6816268

• johannesjo/linux-window-session-manager

  A tool to store and reload open windows and window positions for x11 desktops like unity and gnome.

  Language:TypeScript39498225

• jndean/LossRider

  A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿

  Language:Python289205

• brohrer/sharpened-cosine-similarity

  An alternative to convolution in neural networks

  Language:Python24813937

• michaelsdr/momentumnet

  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities

  Language:Python20781519

• thuml/Koopa

  Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

  Language:Python17442023

• thuml/SimMTM

  About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861

  Language:Python1076913

• sweichwald/tidybench

  TIme series DiscoverY BENCHmark (tidybench)

  Language:Fortran376210

• snu-mllab/Targeted-Cause-Discovery

  Official implementation for "Targeted Cause Discovery with Data-Driven Learning"

  Language:Python202