Popular GitHub Repositories for Early Exiting

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

Offical Code of MICCAI'24 early accepted paper "LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos"

OpenVLThinker: An Early Exploration to Vision-Language Reasoning via Iterative Self-Improvement

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

An intelligent CLI tool that intercepts terminal errors and provides instant, context-aware solutions using LLM's. Transform natural language into terminal commands and never get stuck on cryptic error messages again! Currently in early development.

[Early Stages] Low level functional programming language with linear types, first class inline functions, levity polymorphism and regions.

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)

A curated list of early exiting (LLM, CV, NLP, etc)

ECDC Early warning tool using Twitter data

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

[MICCAI 2023][Early Accept] Official code repository of paper titled "Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification"

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early predi

High-Performance Transformers for Table Structure Recognition Need Early Convolutions

Accelerating Diffusion Models via Early Stop of the Diffusion Process

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

? A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees