ntaylorox Goto Github PK

setfit

Efficient few-shot learning with Sentence Transformers

setfit-few-shot-classification-sample

simclr_pytorch

Implementation of SimCLR in PyTorch

sktime

A unified framework for machine learning with time series

sled

The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper

supervised-contrastive-learning-for-pre-trained-language-model-fine-tuning

in this project, I've implemented the Facebook paper about fine tuning RoBERTa with contrastive loss.

synthvae

Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics

t-few

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

targetedsummarization

TextReducer - A Tool for Summarization and Information Extraction

text-classification-pytorch

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

topicx_is_neural_tm_better_than_clustering

Model zoo for topic models, neural topic models, contextual embeddings for topic models ...

transformer-cluster-statements

A small streamlit app to visualize the output of sentence clustering

transformer-embedding-space

transformer_embedding_notebooks

tsne-pytorch

Pytorch implementation for t-SNE with cuda to accelerate

vectorizers_playground

Using the TIMC Document Vectorizers library