A library that enables reuse of Material themes defined in XML for theming in Jetpack Compose.

Now lives at https://github.com/material-foundation/flutter-packages/tree/main/packages

A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

Official implementation for paper "Adaptive Compliance Policy Learning Approximate Compliance for Diffusion Guided Control".

Make supporting large screens and foldables a breeze

Adaptive composite map projections combine several projections

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The Web Component library built on Open Web Standards & Adaptive UI technologies

Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"

MOVED: now at https://opendev.org/x/compass-adapters

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A RecyclerView.Adapter that is composed of inner adapters

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Linhares Complex Adaptive Systems Course

Adaptive UI Jetpack Compose: Open-source project showcasing adaptive designs for phones, tablets, and folding devices using Jetpack Compose. Empowers developers to create user-friendly Android applications with responsive interfaces.

Archetype Computing / Adapting System for the EMERGE project.

Alex Graves' Adaptive Computation Time in PyTorch

A composable container for Adaptive ROS 2 Node computations. Select between FPGA, CPU or GPU at run-time.

Reimplentation of the library from "Monads for Incremental Computing" in JS/TS.

Context-based adaptive arithmetic coding (CAAC) has high coding efficiency and is adopted by the majority of advanced compression algorithms. In this paper, five new techniques are proposed to further improve the performance of CAAC. They make the frequency table (the table used to estimate the probability distribution of data according to the past input) of CAAC converge to the true probability distribution rapidly and hence improve the coding efficiency. Instead of varying only one entry of the frequency table, the proposed range-adjusting scheme adjusts the entries near to the current input value together. With the proposed mutual-learning scheme, the frequency tables of the contexts highly correlated to the current context are also adjusted. The proposed increasingly adjusting step scheme applies a greater adjusting step for recent data. The proposed adaptive initialization scheme uses a proper model to initialize the frequency table. Moreover, a local frequency table is generated according to local information. We perform several simulations on edge-directed predictionbased lossless image compression, coefficient encoding in JPEG, bit plane coding in JPEG 2000, and motion vector residue coding in video compression. All simulations confirm that the proposed techniques can reduce the bit rate and are beneficial for data compression.

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A method to accurately determine GT2 belt tension

Design data and process for the AdaptyvBio protein design competition

The implementation of Adaptive Computation function used in RNN "https://arxiv.org/pdf/1603.08983.pdf" and Universal Transformer Network "https://arxiv.org/pdf/1807.03819.pdf"

The source code of the paper "Compressed Federated Learning Based on Adaptive Local Differential Privacy".

0G Compute on Claude Code and OpenClaw

Android自适应布局解决方案

Adaptive Complexity for Pixel-Value-Ordering Based Reversible Data Hiding