Benedict Quartey's Projects
The aim of this repository is to report in GitHub contributions coming from other platforms. These contributions were made to a proprietary AI-based fintech product I built in my role as principal ML engineer in a startup.
An open-source platform for Visual AI.
Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).
Useful resources for creating apps with Electron
Config files for my GitHub profile.
A fork of CANard with various tweaks and improvements implemented
Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras
Starting files for the Udacity CarND Behavioral Cloning Project
folder for all the scripts that are used for changepoint detection
Essential Cheat Sheets for deep learning and machine learning researchers
Open Source Sign Language Recognition Platform
Data from Ghanaian Covid-19 cases
Code examples in pyTorch and Tensorflow for CS230
A torch implementation of http://arxiv.org/abs/1511.06434
self driving car
ๆ็่ถ
่ฟทไฝ ๆบๆขฐ่ๆบๅจไบบ้กน็ฎใ
The Example-based Sensor Predictions (ESP) system applies machine learning to real-time sensor data.
A speech dataset to support financial inclusion created by Ashesi University and Nokwary Technologies with funding from Lacuna Fund.
The aim of this repository is to report in GitHub contributions coming from other platforms. These contributions were made to a proprietary fintech solution I worked on.
Folder / directory structure options and naming conventions for software projects
The aim of this repository is to report in GitHub contributions coming from other platforms. These contributions were made to a collection of private full-stack projects I worked on for various clients.
GloVe model for distributed word representation
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
This is the code for "How to Convert Text to Images - Intro to Deep Learning #16' by Siraj Raval on YouTube