OpenscoringREST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Stars: ✭ 536 (-17.28%)
ForecastingTime Series Forecasting Best Practices & Examples
Stars: ✭ 2,123 (+227.62%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-70.37%)
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Stars: ✭ 412 (-36.42%)
Rl Baselines ZooA collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Stars: ✭ 839 (+29.48%)
FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
Stars: ✭ 165 (-74.54%)
NyokaNyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
Stars: ✭ 127 (-80.4%)
Awesome Feature EngineeringA curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
Stars: ✭ 433 (-33.18%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+239.04%)
Pytorch LightningThe lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Stars: ✭ 16,641 (+2468.06%)
Metaflow🚀 Build and manage real-life data science projects with ease!
Stars: ✭ 5,108 (+688.27%)
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (+256.17%)
CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
Stars: ✭ 452 (-30.25%)
0xdeca10bSharing Updatable Models (SUM) on Blockchain
Stars: ✭ 285 (-56.02%)
Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
Stars: ✭ 1,014 (+56.48%)
scikit-hyperbandA scikit-learn compatible implementation of hyperband
Stars: ✭ 68 (-89.51%)
cliPolyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-97.22%)
mltbMachine Learning Tool Box
Stars: ✭ 25 (-96.14%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-94.6%)
WheelsPerformance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Stars: ✭ 891 (+37.5%)
DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (-76.39%)
RayAn open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Stars: ✭ 18,547 (+2762.19%)
KfservingServerless Inferencing on Kubernetes
Stars: ✭ 809 (+24.85%)
MmlsparkSimple and Distributed Machine Learning
Stars: ✭ 2,899 (+347.38%)
neptune-client📒 Experiment tracking tool and model registry
Stars: ✭ 348 (-46.3%)
osprey🦅Hyperparameter optimization for machine learning pipelines 🦅
Stars: ✭ 71 (-89.04%)
Awesome MlopsA curated list of references for MLOps
Stars: ✭ 7,119 (+998.61%)
Caffe2Caffe2 is a lightweight, modular, and scalable deep learning framework.
Stars: ✭ 8,409 (+1197.69%)
polystoresA library for performing hyperparameter optimization
Stars: ✭ 48 (-92.59%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-78.55%)
Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Stars: ✭ 92 (-85.8%)
KglibGrakn Knowledge Graph Library (ML R&D)
Stars: ✭ 405 (-37.5%)
AtariAI research environment for the Atari 2600 games 🤖.
Stars: ✭ 174 (-73.15%)
Pailaba package for versioning, automatization and analysis of machine learning development
Stars: ✭ 25 (-96.14%)
HumanOrRobota solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-97.53%)
Spacy💫 Industrial-strength Natural Language Processing (NLP) in Python
Stars: ✭ 21,978 (+3291.67%)
Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (-11.73%)
BaikalA graph-based functional API for building complex scikit-learn pipelines.
Stars: ✭ 573 (-11.57%)
feature engineFeature engineering package with sklearn like functionality
Stars: ✭ 758 (+16.98%)
LdaLDA topic modeling for node.js
Stars: ✭ 262 (-59.57%)
Leavespure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Stars: ✭ 261 (-59.72%)
Deeplearning.ai NotesThese are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Stars: ✭ 262 (-59.57%)
AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Stars: ✭ 564 (-12.96%)
Smac3Sequential Model-based Algorithm Configuration
Stars: ✭ 564 (-12.96%)
Mycroft CoreMycroft Core, the Mycroft Artificial Intelligence platform.
Stars: ✭ 5,489 (+747.07%)
ShogunShōgun
Stars: ✭ 2,859 (+341.2%)
FacetHuman-explainable AI.
Stars: ✭ 269 (-58.49%)