elronbandel Goto Github PK
Name: Elron Bandel
Type: User
Bio: Staff Research Scientist @ IBM Research AI
Name: Elron Bandel
Type: User
Bio: Staff Research Scientist @ IBM Research AI
Text generation using language models with multiple exit heads
Training Longformer with cross-word global attention and ConvBERT on Whole Word Masking with character level Hebrew input.
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.
Basic Shell Prompt which support all the basic unix api commands and aloow customization of commands.
🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
Implementation of few deep learning models for auditory language tokens classifcation, Tools for preformence measurments and well preforming model of CNN combined with LSTM.
Flight-Gear-Simulator Desktop remote with location tracking
Flow Based Generative Models with Virtual Bottleneck Compression
basic functions dictionary that represents the use of delegates and events in c#
general code language interperter with machnism for varaibles managment and built-in support for flight gear simulator commands.
generic object oriented flexible simple server
An open source no-code system for text annotation and building text classifiers
Exploring the capabilities of LSTM models with the task of Regular Language Deciding.
Lexical Generalization Improves with Larger Models and Longer Training (EMNLP 2022)
A framework for few-shot evaluation of autoregressive language models.
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.
Natural Question Dataset in SQuAD 2.0 format
experimental project
Multilingual Sentence & Image Embeddings with BERT
simple lstm crf implementation with POS example
Simple implementation of variational autoencoder (VAE)
Using PyTorch Transformer for sequnce labeling
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.