Andrew Carr (andrewnc)

andrewnc

User data from Github https://github.com/andrewnc

Company:getcartwheel.com

Home Page:andrewnc.github.io

GitHub:@andrewnc

Twitter:@andrew_n_carr

Andrew Carr's repositories

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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awesome-quantified-self

:bar_chart: Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking

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nanoAttentionFree

The simplest, fastest repository for training/finetuning medium-sized AttentionFree Hyena models. Based on NanoGPT

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awesome-synthetic-data

đź“– A curated list of resources dedicated to synthetic data

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awesome-synthetic-data-1

đź“– A curated list of resources dedicated to synthetic data

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BQN

An APL-like programming language. Self-hosted!

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BVHView

A simple viewer for the .bvh animation file format written using raylib.

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calc

calc= is a small concatenative programming language for doing math in chats.

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composer

Train neural networks up to 7x faster

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DeepRLInTheWorld

From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

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egui

egui: an easy-to-use immediate mode GUI in pure Rust

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EntropyEnigma

Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"

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flow_matching

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

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gretel-synthetics

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

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momentum

A library for human kinematic motion and numerical optimization solvers to apply human motion

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ponimator

Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation (ICCV 2025)

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safari

Convolutions for Sequence Modeling

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SSSD

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

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