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end2endautomaticspeechrecognition

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

enformer-tensorflow-sonnet-training-script

The full training script for Enformer - Tensorflow Sonnet

eng_spacysentiment

sentiment analysis using spacy

enhanced-subject-verb-object-extraction

Enhanced Subject Word Object Extraction

entity-fishing

A machine learning tool for fishing entities

entity_extraction_svc

Entity Extraction Service

entity_extractor_by_ner

基于Tensorflow2.3开发的NER模型，都是CRF范式，包含Bilstm(IDCNN)-CRF、Bert-Bilstm(IDCNN)-CRF、Bert-CRF，可微调预训练模型，可对抗学习，用于命名实体识别，配置后可直接运行。

entityquestions

EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers

entlm

Codes for "Template-free Prompt Tuning for Few-shot NER".

entqa

Pytorch implementation of EntQA paper

entropic-out-of-distribution-detection

Add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

environmental-due-diligence

Predicts classes of environmental due diligence

eqqa

equinox

Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX.

eraserbenchmark

A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

erc

Emotion recognition in conversation

erisha

ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.

ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

errant

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

esgd

ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

espnet

End-to-End Speech Processing Toolkit

espnet_model_zoo

ESPnet Model Zoo

espnet_tts_frontend

Text frontend for ESPnet tts recipes

ethics

Aligning AI With Shared Human Values (ICLR 2021)

etm

Topic Modeling in Embedding Spaces

eurybia

⚓ Eurybia monitor model drift over time and securize model deployment with data validation

eval-formality-transfer

Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer (HumEval 2022)

evalqaexpl

Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.

evaluate

A library for easily evaluating machine learning models and datasets.