Udacity's CS101: Intro to Computer Science - Building a Search Engine
All solutions to quizzes, homework, and extra homework practice problems are my personal code for Udacity's CS101: Intro to Computer Science taught by David Evans.
All solutions to quizzes, homework, and extra homework practice problems are my personal code for Udacity's CS101: Intro to Computer Science taught by David Evans.
Kroomsa A search engine for the curious. It is a search algorithm designed to en
Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers speed up their exploration process for finding the right model architecture for their classification problems (i.e., DNNs with different types of layers).
Efficient implementations of Product Quantization and its variants using Pytorch and CUDA
DenseNAS The code of the CVPR2020 paper Densely Connected Search Space for More Flexible Neural Architecture Search. Neural architecture search (NAS)
PyGrid is a peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft. PyGrid is also the central serv
Modeling High-Frequency Limit Order Book Dynamics Using Machine Learning Framework to capture the dynamics of high-frequency limit order books. Overvi
All-in-one web-based development environment for machine learning Getting Started • Features & Screenshots • Support • Report a Bug • FAQ • Known Issu
Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data
PlasmaPy PlasmaPy is an open source, community-developed Python 3.7+ package for plasma science. PlasmaPy intends to be for plasma science what Astrop
Financial Analysis Web App https://share.streamlit.io/mayurk1/fin-web-app-final-project/webApp.py 1. Project Description This project is a technical a
Wizard of Search Engine: Access to Information Through Conversations with Search Engines by Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zh
Deep Text Search - AI Based Text Search & Recommendation System Deep Text Search is an AI-powered multilingual text search and recommendation engine w
RL - EmsPy (work In Progress...) The EmsPy Python package was made to facilitate Reinforcement Learning (RL) algorithm research for developing and tes
federated is the source code for the Bachelor's Thesis Privacy-Preserving Federated Learning Applied to Decentralized Data (Spring 2021, NTNU) Federat
Aalto-CS-MSc-Theses Listing of M.Sc. Theses of the Department of Computer Scienc
Using an object detection and facial recognition system built on MobileNetSSDV2 and Dlib and running on an NVIDIA Jetson Nano, a GPT-3 model, Google Speech Recognition, Amazon Polly and servo motors, I built Ellee - a robotic teddy bear who can move her head and converse naturally.
A "gym" style toolkit for building lightweight Neural Architecture Search systems
Cross-lingual Information Retrieval Model for Document Search Train Phase CUDA_VISIBLE_DEVICES="0,1,2,3" \ python -m torch.distributed.launch --nproc_
imgs.ai imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings. It utilizes modern