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Name: D.Edwards
Type: User
Company: Dare Labs
Bio: AI /ML Engineer
Location: San Francisco 🫡
Blog: darelabs.net
Name: D.Edwards
Type: User
Company: Dare Labs
Bio: AI /ML Engineer
Location: San Francisco 🫡
Blog: darelabs.net
Streamlit powered web application demonstrating adversarial attacks on ImageNet images made by Howard University CWINS lab
A Collection of adversarial Attacks Defenses implemented with tf.Keras
Deprogramming Sleeper Agents using Adapters! (Explaining why Adversarial Training is Useless against them)
Targeted Adversarial Examples on Speech-to-Text systems
TOO MANY CHOICES! Give me Quality Recomenadtions!
This a deep learning program for recognizing the captcha using keras with python.
AI companions with memory: a lightweight stack to create and host your own AI companions
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Deep Image Matting implementation in PyTorch
Hiding Images within other images using Deep Learning
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Implemented human to game character transfer based on the UCB paper with the same name. Used pose estimation api by CMU and trained a Conditional GAN model on the pose estimated stick pose stick figure to learn a video game character. Further refinement in the project can be of great use to get animated version of real-life movies.
Just to Practice implementing Libraries I use all the time but have never implemented
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
Adversarial Attacks on Human Action Recognition Networks
This repo is no longer supported im going to do it myself.
Just a few of the programs that i've worked on during grad school. All of them show some understanding of an important aspect of CS
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)
This repo is dedicated to providing open-source tutorials for Large Language Model experimentation.
Twitter bot
How well can a given piece of media do in multiple different cultures/countries? i.e. How well does this piece of media travel?
Vector Matrix multiplication
Using python to extract features from audio waveforms, and then running machine learning algorithms.
A webapp to show off my model
PG-Gan (Progressive Growing Generative Adversarial Network)
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.