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Name: Sergiu Craioveanu
Type: User
Bio: Data Scientist
Location: Bucharest, Romania
Name: Sergiu Craioveanu
Type: User
Bio: Data Scientist
Location: Bucharest, Romania
Leveraging RoBERTa for Abstractive Summarization using Pre-trained Encoders
Task was to implement the functionalities of an ALU, based on a master-slave principle. The code was based upon the Intel Avalon Memory scheme (slave), with the ALU being the master. The ALU had to fulfill basic functionalities/operations, such as ADD, AND, OR, XOR, DEC, INC, SHL, SHR, with different types of memory addressing and varying number of operands. Implemented in Verilog, using Xilinx IDE.
Results reproduction of the paper named Binarized Neural Machine Translation, where we leverage quantized transformer architecture for a more computationally efficient model.
The purpose of the project was to convert a 24bit BMP image to a Binary Matrix, which in essence meant converting the image file to a binary file. The operation is reversible.
This is a simple C/C++ preprocessor. The goal is to have good conformance with the C and C++ standards and to handle nonstandard preprocessor extensions in gcc / clang / visual studio preprocessors. Most of the preprocessor testcases in gcc and clang are handled decently by so-cpp.
This is a public repo that summarizes our accomplishments in the Terminal Correlation One 2021 Europe Regional Phase.
Automated-checking script for the eStore Platform Assignment. Used as Assignment for Object-Oriented Programming (C++) at the Faculty of Automatic Control and Computer Science @ Politehnica University of Bucharest, 2020-2021. Valued at 15% of the entire grade.
Exercise notebooks for CVND.
Placed 2nd (out of 65) in the Deep Learning course Kaggle Competition, where all students in the second year of University of Bucharest AI MSc would compete against each other for best model score. Dataset was composed of synthetic/generated images and the purpose was to classify images into 100 classes.
💨 Understanding the code of life: Generative modeling of regulatory DNA sequences with diffusion probabilistic models 🧬
The goal of this project is to develop an automatic system for scoring a specific variant of dominoes game called Double Double Dominoes.
A collection of courses, scraped from the website Educative (educative.io). Feel free to use!
As the name suggests, we wish to create and develop the back-end of an e-store/e-commerce app with the purpose of selling various products. Used as Assignment for Object-Oriented Programming (C++) at the Faculty of Automatic Control and Computer Science @ Politehnica University of Bucharest, 2020-2021.
The task was to implement an Executable File Bootloader as a dynamic library for UNIX. The loader would load the binary executable in the main memory, page by page, using the demand-paging mechanism.
Fine-tuned Stable Diffusion v1.5 (InvokeAI codebase) using processed images in the style of South Park, Simpsons and Naruto. Created realistic images, abstract art and combined these styles which resulted in new types of cartoons
Streamlit App that lets you intuitively convert waveform files to text, in English and Romanian. Google Cloud API Credentials Request JSON required via Google Cloud Credentials.
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Predict sales prices and practice feature engineering, RFs, and gradient boosting. Top 13% entries as of June 2021.
The focus is on machine learning models that can identify toxicity in online conversations, where toxicity is defined as anything rude, disrespectful or otherwise likely to make someone leave a discussion. If these toxic contributions can be identified, we could have a safer, more collaborative internet.
Leveraging BERT for Enhanced Sentiment Analysis and Emotion-Cause Pair Detection in Conversational Contexts
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
A smaller implementation of PyTorch which contains most of the essential components.
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer
A repo containing my final Jupyter Notebook after participating in the Plant Pathology Competiton on Kaggle in May 2020.
Placed 3rd (out of 80) in the Practical Machine Learning course Kaggle Competition, where all students in first year of AI MSc would compete against each other for best model score. Dataset was composed of accelerometer timeseries on multiple axis and the purpose was to classify users based on behavior.
Code for the Recognize Anything Model (RAM) and Tag2Text Model
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.