bdt2022-group12

The aim of this big data project is to design and implement a big data system that can provide real-time context-aware recommendations to drivers on the level of possible danger.

bike-sharing-trento

Bike Sharing Json data manupulation from Smart Community Lab Trento

bovw

Getting started with ML with the Bag of Visual Words

bubble.fyi

chatunitest

choice-based-conjoint-survey-analysis

code-lms

Guide to using pre-trained large language models of source code

code_snippets

conditionsscrapper

data-science--cheat-sheet

Cheat Sheets

email_server

featureide

An extensible framework for feature-oriented software development

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

iv4xr-rlbt

Reinforcement Learning based coverage driven test case generation tool

khandakerrahin

Config files for my GitHub profile.

knn-with-classes

lambda-arch

A full big data pipeline (Lambda Architecture) with Spark, Kafka, HDFS and Cassandra.

lebupay

Payment gateway platform

llm-foundry

LLM training code for MosaicML foundation models

llm_demo

Walk through how to build a langchain x streamlit app using GPT4All

masterthesis

ml_image_search_engine

numerai

parallel-huffman-coding-mpi

patient-data-generator

Read JSON file and add key-values to it.

patient-treatment-recommender

pdfchatbot

public-ai-challenge-progetto-caproni

python_folium_example

Example showing how to generate a map with markers, custom markers, circle markers, vega visualizations, Geojson and choropleth maps

rfid_services

The project aims to design and deploy an automated school attendance system using UHF RFID Reader DL950S where the RFID devices are deployed at the school premises and managed remotely using Raspberry Pi 3. For this project, I contributed to the development of the console applications from the provided SDK which involved configuring the devices, collecting and stream processing of the sensor readings, transferring the data to the inhouse datastore.