savan77

UT-Dallas-CS-6301-CNNs

Deep Learning Class

cords

Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

templates

Reusable templates for Onepanel Workspaces and Workflows, Tasks and Sidecars

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

onepanel

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

EmotionDetectionBERT

Multi Emotion Detection from COVID-19 Text using BERT

RoboNet

WSL-Images

Weakly Supervised Learning On Images

Adversarial-Reprogramming

PyTorch implementation of Adversarial Reprogramming

Non-Targeted-Adversarial-Attacks

A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition

spinningup

An educational resource to help anyone learn deep reinforcement learning.

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

robust-vision-benchmark

Robust Vision Benchmark

Malicious-URL-Detection-using-Machine-Learning

A Dataset for the task of Malicious URL Detection

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

pix2code

pix2code: Generating Code from a Graphical User Interface Screenshot

DeepRecommender

Deep learning for recommender systems

lectures

Oxford Deep NLP 2017 course

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

courses

fast.ai Courses

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

facets

Visualizations for machine learning datasets

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

Intro_to_ML_Lecture_Note

CompStats

Code for a workshop on statistical interference using computational methods in Python.

stack-overflow-import

Import arbitrary code from Stack Overflow as Python modules.

jupyshare

easygen