Popular GitHub Repositories for Error Propagation

Probabilistic language based on pattern matching and constraint propagation, 153 examples

Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

A fast, low-resource Natural Language Processing and Text Correction library written in Rust.

Use AI-powered code edits, explanations, code generation, error diagnosis, and chat in Visual Studio Code with the official OpenAI API.

Failure archive for ChatGPT and similar models

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

Minimal and clean examples of machine learning algorithms implemented in Julia

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

Tensor network based quantum software framework for the NISQ era

Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020