Popular GitHub Repositories for Decay

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.

We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.

Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".

Logiciel de détection, localisation & segmentation de carries sur des radiographies dentaires.

[CVPR 2021: Oral] In this work, we show that high frequency Fourier spectrum decay discrepancies are not inherent characteristics for existing CNN-based generative models.

The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.

This is an official implementation of 'A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images'

Conversational AI agent for repository analysis using Git history patterns. Reveals code quality evolution, complexity trends, and decay forecasting through natural language interactions. Next-generation temporal intelligence platform.

An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020

An Artificial Neural Network with weight decay created using python using the Numpy library which can read handwritten digits. Uses K-Folds cross validation for training the Neural Network.

Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.

Urban Decay Prediction Algorithm & Live Visualization