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alephbert

auto-contrastive-generation

Text generation using language models with multiple exit heads

char-base-hebrew-bert

Training Longformer with cross-word global attention and ConvBERT on Whole Word Masking with character level Hebrew input.

clustering

We use 5 different clustering algorithms to learn meaningful clusters in 3 different datasets. The clustering algorithms we use, KMeans, GMM, Louvain, Prim and DBSCAN are all unsupervised learning algorithms that utilize different approaches to find meaningful clusters in the data. In this work we apply every one of them on each of the datasets, search for optimal hyper parameters and discuss the different results.

customized-shell-prompt

Basic Shell Prompt which support all the basic unix api commands and aloow customization of commands.

datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas

deep-learning-for-auditory-language-tokens-classifcation

Implementation of few deep learning models for auditory language tokens classifcation, Tools for preformence measurments and well preforming model of CNN combined with LSTM.

ebook

elronbandel.github.io

expectation_maximzation

flight-simulator-remote

Flight-Gear-Simulator Desktop remote with location tracking

flow-based-compression

Flow Based Generative Models with Virtual Bottleneck Compression

functions-dictionary

basic functions dictionary that represents the use of delegates and events in c#

general-interpeter-for-flight-gear-commands-language

general code language interperter with machnism for varaibles managment and built-in support for flight gear simulator commands.

genericserver

generic object oriented flexible simple server

label-sleuth

An open source no-code system for text annotation and building text classifiers

learning-regex-with-lstm

Exploring the capabilities of LSTM models with the task of Regular Language Deciding.

lexical-generalization

Lexical Generalization Improves with Larger Models and Longer Training (EMNLP 2022)

lingustic-generator

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

low-resource-text-classification-framework

Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.

nquad

Natural Question Dataset in SQuAD 2.0 format

rasabot

relation-extraction

experimental project

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

sign-translate

simple-lstm-crf

simple lstm crf implementation with POS example

simple-vae

Simple implementation of variational autoencoder (VAE)

sprybot

transformer-sequence-labeling

Using PyTorch Transformer for sequnce labeling