d-cunningham

d-cunningham's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k948243.7k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.2k2271222.9k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.6k405772.2k

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python14.9k6224064.1k

• matheusfelipeog/beautiful-docs

  Pointers to useful, well-written, and otherwise beautiful documentation.

  9.1k24330609

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.7k278231.5k

• LappleApple/awesome-leading-and-managing

  Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.

  7.9k31218653

• joeyespo/grip

  Preview GitHub README.md files locally before committing them.

  Language:Python6.5k73288424

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k925281k

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook4k108742.4k

• csev/py4e

  Web site for www.py4e.com and source to the Python 3.0 textbook

  Language:JavaScript2.9k2181431.8k

• rasterio/rasterio

  Rasterio reads and writes geospatial raster datasets

  Language:Python2.3k1471.8k534

• mitre-attack/attack-navigator

  Web app that provides basic navigation and annotation of ATT&CK matrices

  Language:TypeScript2k96361592

• advboxes/AdvBox

  Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

  Language:Jupyter Notebook1.4k5638265

• EthicalML/awesome-artificial-intelligence-guidelines

  This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

  1.3k610167

• alievk/avatarify-desktop

  Successor of Avatarify Python

  Language:C++1.2k4268269

• mitre/advmlthreatmatrix

  Adversarial Threat Landscape for AI Systems

  1.1k1064103

• Azure/counterfit

  a CLI that provides a generic automation layer for assessing the security of ML models

  Language:Python8063140129

• OpenMined/PyDP

  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

  Language:Python50620158139

• forensic-architecture/models

  3d models and other assets for investigations.

  43135325

• Vooban/Smoothly-Blend-Image-Patches

  Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

  Language:Python363121489

• ftramer/Steal-ML

  Model extraction attacks on Machine-Learning-as-a-Service platforms.

  Language:Python34418796

• reachsumit/deep-unet-for-satellite-image-segmentation

  Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

  Language:Python3091026139

• Circuitscape/Circuitscape.jl

  Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

  Language:Julia128722135

• bgruening/conda_r_skeleton_helper

  Cleaning up Conda r-packages

  Language:Python4772732

• SSGAalto/prada-protecting-against-dnn-model-stealing-attacks

  Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.

  Language:Python335310

• tribhuvanesh/prediction-poisoning

  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)

  Language:Python30326

• dmitrykazhdan/MARLeME

  General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems

  Language:C++20112

• thenatureconservancy/gnarly-landscape-utilities

  Tools for resistance, habitat, and core area mapping

  Language:Python125105

• Circuitscape/www.circuitscape.org

  Circuitscape website

  Language:CSS6582