zpySynthetic data for computer vision. An open source toolkit using Blender and Python.
Stars: ✭ 251 (+1991.67%)
nalafNLP framework in python for entity recognition and relationship extraction
Stars: ✭ 104 (+766.67%)
ml-lpiMaterials for ML course at Lebedev Physical Institute
Stars: ✭ 31 (+158.33%)
mildnetVisual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Stars: ✭ 76 (+533.33%)
rs datasetsTool for autodownloading recommendation systems datasets
Stars: ✭ 22 (+83.33%)
ai-background-removeCut out objects and remove backgrounds from pictures with artificial intelligence
Stars: ✭ 70 (+483.33%)
SynapseMLSimple and Distributed Machine Learning
Stars: ✭ 3,355 (+27858.33%)
GaussianNBGaussian Naive Bayes (GaussianNB) classifier
Stars: ✭ 17 (+41.67%)
k3ai-coreK3ai-core is the core library for the GO installer. Go installer will replace the current bash installer
Stars: ✭ 23 (+91.67%)
pmml4s-sparkPMML scoring library for Spark as SparkML Transformer
Stars: ✭ 16 (+33.33%)
fixAllows you to use OpenAI Codex to fix errors in the command line.
Stars: ✭ 72 (+500%)
colabsThis repository holds the Google Colabs for the EdX TinyML Specialization
Stars: ✭ 73 (+508.33%)
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 (+816.67%)
thesaurusTT Hackathon 2018 - Autocomplete for Visual Programming Nodes
Stars: ✭ 23 (+91.67%)
plinycomputeA system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.
Stars: ✭ 27 (+125%)
Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
Stars: ✭ 31 (+158.33%)
lukaiLuk.ai Clients - Federated Machine Learning for Everyone!
Stars: ✭ 20 (+66.67%)
rekcurd-pythonProject for serving ML module. This is a gRPC micro-framework.
Stars: ✭ 47 (+291.67%)
oomstoreLightweight and Fast Feature Store Powered by Go (and Rust).
Stars: ✭ 76 (+533.33%)
ScaledYOLOv4Scaled-YOLOv4: Scaling Cross Stage Partial Network
Stars: ✭ 1,944 (+16100%)
TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
Stars: ✭ 25 (+108.33%)
zinggScalable identity resolution, entity resolution, data mastering and deduplication using ML
Stars: ✭ 655 (+5358.33%)
aws-ai-ml-workshop-krA collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Stars: ✭ 65 (+441.67%)
florFLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.
Stars: ✭ 123 (+925%)
awesome-list-of-awesomesA curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
Stars: ✭ 259 (+2058.33%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+4258.33%)
S2ML-GeneratorsMultiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
Stars: ✭ 172 (+1333.33%)
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 (+458.33%)
vs-mlrtEfficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)
Stars: ✭ 34 (+183.33%)
flutter-visioniOS and Android app built with Flutter and Firebase. Includes Firebase ML Vision, Firestore, and Storage
Stars: ✭ 45 (+275%)
ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Stars: ✭ 40,023 (+333425%)
informatica-publicPublic code developed during my MSc study at University of Bologna
Stars: ✭ 79 (+558.33%)
jovian-pyCollaboration platform for data science projects & Jupyter notebooks
Stars: ✭ 91 (+658.33%)
YOLOv4MLNetUse the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
Stars: ✭ 61 (+408.33%)
mindsdb-examplesExamples for usage of Mindsdb https://www.mindsdb.com/
Stars: ✭ 25 (+108.33%)
MixingBearPackage for automatic beat-mixing of music files in Python 🐻🎚
Stars: ✭ 73 (+508.33%)
ecoleExtensible Combinatorial Optimization Learning Environments
Stars: ✭ 249 (+1975%)
mlflow-dockerReady to run docker-compose configuration for ML Flow with Mysql and Minio S3
Stars: ✭ 146 (+1116.67%)
DDOS Detectionddos attack detector using ML Algorithms
Stars: ✭ 38 (+216.67%)
pmml4sPMML scoring library for Scala
Stars: ✭ 49 (+308.33%)
deepchecksTest Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
Stars: ✭ 1,595 (+13191.67%)
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 (+5025%)
kaggleKaggle solutions
Stars: ✭ 17 (+41.67%)
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 (+875%)
yggdrasil-decision-forestsA collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
Stars: ✭ 156 (+1200%)
PuzzleLibDeep Learning framework with NVIDIA & AMD support
Stars: ✭ 52 (+333.33%)
NimbusML-SamplesSamples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Stars: ✭ 31 (+158.33%)