Julia package with several functions to train and analyze Autoencoder-based neural networks

Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"

Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

A Makie theme

A convenient package for working with time series (time-indexed arrays)

Kolmogorov Arnold Networks

Repository for Common Ground C25

Julia toolbox for analyzing neurophysiological data

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Because we don't have enough time to read everything

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

Harnessing Julia's Rich Documentation for Tailored AI-Assisted Coding Guidance

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Lectures, code and material for the Modelling and Machine Learning of Dynamical Systems in Julia lecture at Technical University Munich

A collection of tools, helper functions and layers to assist working with chaotic Neural Differential Equation in Julia

This is the source code of the Neural Partial Differential Equations for Chaotic Processes Paper.

Small helper package that provides a struct for sequence learning with Neural ODEs.

Machine Learning for Dynamical Systems Workshop February 23 at TUM

Play atmospheric modelling like it's LEGO.

Code and experiments for the NeurIPS 2023 paper Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints

Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.

Comprehensive guide to generative AI projects and resources in Julia.

⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains

This repository contains the implementation of Sequential Feature Detachment (SFD) for feature selection and its application to Detach-ROCKET for time series classification.

Pip Package for MirageML

LLM inference in C/C++

Foundational Models for State-of-the-Art Speech and Text Translation