seanmcpherson

seanmcpherson's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k1.1k16.2k27.1k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23k2452.5k3.3k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.2k2271222.9k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k1762.8k3k

• jivoi/awesome-ml-for-cybersecurity

  :octocat: Machine Learning for Cyber Security

  7.3k439161.8k

• IntelLabs/nlp-architect

  A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

  Language:Python2.9k164126448

• GeorgeSeif/Semantic-Segmentation-Suite

  Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

  Language:Python2.5k112225878

• 13o-bbr-bbq/machine_learning_security

  Source code about machine learning and security.

  Language:Python2k15463657

• IBM/pytorch-seq2seq

  An open source framework for seq2seq models in PyTorch.

  Language:Python1.5k60116376

• intel/caffe

  This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

  Language:C++84885265491

• facebookarchive/models

  A repository for storing pre-trained Caffe2 models.

  Language:Python4306144127

• IntelAI/nauta

  A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based systems

  Language:Python392413468

• ImagingLab/Colorizing-with-GANs

  Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

  Language:Python264132994

• crowdAI/crowdai-mapping-challenge-mask-rcnn

  Mask-RCNN baseline for the crowdAI Mapping Challenge

  Language:Jupyter Notebook25714072

• xiaozhouwang/kaggle_Microsoft_Malware

  code for kaggle competition Microsoft malware classification

  Language:Python251231148

• posm/posm

  Portable OpenStreetMap - offline mapping and field enumeration (log issues here)

  2272536115

• NervanaSystems/he-transformer

  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph

  Language:C++221316539

• AshishBora/csgm

  Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

  Language:Python212181373

• SpaceNetChallenge/RoadDetector

  Winning Solutions from SpaceNet Road Detection and Routing Challenge

  Language:Python20518588

• LLNL/magpie

  Magpie contains a number of scripts for running Big Data software in HPC environments, including Hadoop and Spark. There is support for Lustre, Slurm, Moab, Torque. LSF, Flux, and more.

  Language:Shell1961320253

• IntelLabs/matsciml

  Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

  Language:Python15556425

• waterslideLTS/waterslide

  WaterSlide is a streaming event-at-a-time architecture for processing metadata. It is designed to take in a set of streaming events from multiple sources, process them through a set of modules ("kids"), and return meaningful outputs.

  Language:C11425740

• intel/MLSL

  Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

  Language:C++109231934

• CosmiQ/apls

  Python code to evaluate the APLS metric

  Language:Python10691440

• Lab41/cyphercat

  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.

  Language:Jupyter Notebook99112241

• Lab41/attalos

  Joint Vector Spaces

  Language:Jupyter Notebook89192538

• IntelLabs/GraVi-T

  Graph learning framework for long-term video understanding

  Language:Python51346

• IntelAI/experiments

  Experiments API for Experiment Tracking on Kubernetes

  Language:Python2719164

• intel-analytics/analytics-zoo

  Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

  Language:Jupyter Notebook1871.3k4