Name: Salomon Kabongo
Type: User
Company: University of Hannover, L3S and TIB
Bio: My research interests include but not limited to :
-Natural Language Processing,
Automatic Speech Translation and Computer Vision.
https://skabongo.github.
Twitter: SalomonKabongo
Location: Bloomington, USA
Blog: https://skabongo.github.io/
Salomon Kabongo's Projects
A private messenger for Android.
A private messenger for iOS.
Server supporting the Signal Private Messenger applications on Android, Desktop, and iOS
This repo contains code for SimCLR : A Simple Framework for Contrastive Learning of Visual Representations
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
This forlder contains some script, trick and tools that I use when working on High-performance computing ยท HPC
This folder will contains my implementation of some sorting algorithm from scratch.
The SOTA extractor pipeline
A PyTorch Implementation of End-to-End Models for Speech-to-Text
This tutorial shows how to build efficiently a sample blog application by combining the power of Spring Boot and Kotlin.
Deep Learning for Symbolic Mathematics
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Parses pdfs for Tasks, Datasets, and Metrics using GROBID (Adapted version of https://github.com/IBM/science-result-extractor)
This program produces the test data for classification over a set of predefined task#dataset#metrics#software labels. Given input a pdf file, it scrapes the text from the file using the Grobid parser, subsequently generating the test data file for input to the neural network classifier.
Pytorch implementation of time-domain filterbanks
Code Repository for The Full Stack Web Developer Academy For Beginners, Published by Packt
In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new ,"fake" TV script, based on patterns it recognizes in this training data.
Assigments from the Udacity Full Stack Developer Nanodegree
UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
Word Embedding Visual Inspector
Analysis of whatsapp conversation history
This folder contains, somes notebooks that I wrote as part of my master degree project at the African Institute for Mathematical Sciences
Python interface to Google word2vec