GaussianNBGaussian Naive Bayes (GaussianNB) classifier
Stars: ✭ 17 (-29.17%)
pmml4s-sparkPMML scoring library for Spark as SparkML Transformer
Stars: ✭ 16 (-33.33%)
mildnetVisual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Stars: ✭ 76 (+216.67%)
nalafNLP framework in python for entity recognition and relationship extraction
Stars: ✭ 104 (+333.33%)
cliPolyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-25%)
rs datasetsTool for autodownloading recommendation systems datasets
Stars: ✭ 22 (-8.33%)
ml-lpiMaterials for ML course at Lebedev Physical Institute
Stars: ✭ 31 (+29.17%)
deep-significanceEnabling easy statistical significance testing for deep neural networks.
Stars: ✭ 266 (+1008.33%)
zpySynthetic data for computer vision. An open source toolkit using Blender and Python.
Stars: ✭ 251 (+945.83%)
plinycomputeA system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.
Stars: ✭ 27 (+12.5%)
r2inferenceRidgeRun Inference Framework
Stars: ✭ 22 (-8.33%)
ScaledYOLOv4Scaled-YOLOv4: Scaling Cross Stage Partial Network
Stars: ✭ 1,944 (+8000%)
lukaiLuk.ai Clients - Federated Machine Learning for Everyone!
Stars: ✭ 20 (-16.67%)
thesaurusTT Hackathon 2018 - Autocomplete for Visual Programming Nodes
Stars: ✭ 23 (-4.17%)
fixAllows you to use OpenAI Codex to fix errors in the command line.
Stars: ✭ 72 (+200%)
hierarchical-dnn-interpretationsUsing / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
Stars: ✭ 110 (+358.33%)
colabsThis repository holds the Google Colabs for the EdX TinyML Specialization
Stars: ✭ 73 (+204.17%)
neural inverse knittingCode for Neural Inverse Knitting: From Images to Manufacturing Instructions
Stars: ✭ 30 (+25%)
rekcurd-pythonProject for serving ML module. This is a gRPC micro-framework.
Stars: ✭ 47 (+95.83%)
DeepBumpNormal & height maps generation from single pictures
Stars: ✭ 185 (+670.83%)
deep-explanation-penalizationCode for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Stars: ✭ 110 (+358.33%)
jovian-pyCollaboration platform for data science projects & Jupyter notebooks
Stars: ✭ 91 (+279.17%)
ml-graphlab-boilerplateMachine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)
Stars: ✭ 17 (-29.17%)
mindsdb-examplesExamples for usage of Mindsdb https://www.mindsdb.com/
Stars: ✭ 25 (+4.17%)
ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Stars: ✭ 40,023 (+166662.5%)
ecoleExtensible Combinatorial Optimization Learning Environments
Stars: ✭ 249 (+937.5%)
incubator-liminalApache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.
Stars: ✭ 117 (+387.5%)
aws-ai-ml-workshop-krA collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Stars: ✭ 65 (+170.83%)
mlflow-dockerReady to run docker-compose configuration for ML Flow with Mysql and Minio S3
Stars: ✭ 146 (+508.33%)
TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
Stars: ✭ 25 (+4.17%)
pmml4sPMML scoring library for Scala
Stars: ✭ 49 (+104.17%)
YOLOv4MLNetUse the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
Stars: ✭ 61 (+154.17%)
florFLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.
Stars: ✭ 123 (+412.5%)
responsible-ai-toolboxThis project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Stars: ✭ 615 (+2462.5%)
kaggleKaggle solutions
Stars: ✭ 17 (-29.17%)
zinggScalable identity resolution, entity resolution, data mastering and deduplication using ML
Stars: ✭ 655 (+2629.17%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+2079.17%)
mlappMLApp is a Python library for building scalable data science solutions that meet modern software engineering standards.
Stars: ✭ 42 (+75%)
neptune-client📒 Experiment tracking tool and model registry
Stars: ✭ 348 (+1350%)
hana-ml-samplesThis project provides code examples for SAP HANA Predictive and Machine Learning scenarios and is educational content. It covers simple Predictive Analysis Library SQL examples as well as complete SAP HANA design-time “ML scenario”-application content or HANA-ML Python Notebook examples.
Stars: ✭ 67 (+179.17%)
GatedPixelCNNPyTorchPyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
Stars: ✭ 68 (+183.33%)
S2ML-GeneratorsMultiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
Stars: ✭ 172 (+616.67%)
FlutterIOTVisit our website for more Mobile and Web applications
Stars: ✭ 66 (+175%)
flutter-visioniOS and Android app built with Flutter and Firebase. Includes Firebase ML Vision, Firestore, and Storage
Stars: ✭ 45 (+87.5%)
Learning-ResourcesThis repository contains curated, useful resources drafted by DSC Domain Leads.
Stars: ✭ 21 (-12.5%)
DDOS Detectionddos attack detector using ML Algorithms
Stars: ✭ 38 (+58.33%)
oomstoreLightweight and Fast Feature Store Powered by Go (and Rust).
Stars: ✭ 76 (+216.67%)
NimbusML-SamplesSamples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Stars: ✭ 31 (+29.17%)
ai-background-removeCut out objects and remove backgrounds from pictures with artificial intelligence
Stars: ✭ 70 (+191.67%)
k3ai-coreK3ai-core is the core library for the GO installer. Go installer will replace the current bash installer
Stars: ✭ 23 (-4.17%)