Dl tutorialTutorials for deep learning
Stars: ✭ 247 (+5.11%)
Sars tutorialRepository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Stars: ✭ 320 (+36.17%)
DeeplearningcoursecodesNotes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
Stars: ✭ 241 (+2.55%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+46.81%)
Open source demosA collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Stars: ✭ 391 (+66.38%)
NumpileA tiny 1000 line LLVM-based numeric specializer for scientific Python code.
Stars: ✭ 341 (+45.11%)
Code searchCode For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Stars: ✭ 436 (+85.53%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (+88.09%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+1265.53%)
JustenoughscalaforsparkA tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Stars: ✭ 538 (+128.94%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+251.49%)
Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (+267.23%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (+128.09%)
Opencv TutorialsTutorials for learning OpenCV in Python from Scratch
Stars: ✭ 36 (-84.68%)
CourseSlides and Jupyter notebooks
Stars: ✭ 29 (-87.66%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+3395.32%)
H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+455.32%)
Learning pythonSource material for Python Like You Mean it
Stars: ✭ 78 (-66.81%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+4928.94%)
Tensorflow ExamplesTensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Stars: ✭ 41,480 (+17551.06%)
Vae TensorflowA Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
Stars: ✭ 117 (-50.21%)
CadlARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Stars: ✭ 1,478 (+528.94%)
Learn jupyterThis is a jupyter practical tutorial. Welcome to edit together!
Stars: ✭ 123 (-47.66%)
Mlf Mlt📚 机器学习基石和机器学习技法作业
Stars: ✭ 112 (-52.34%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (-38.3%)
ImageprocessingMicaSense RedEdge and Altum image processing tutorials
Stars: ✭ 139 (-40.85%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-39.57%)
Nlp TutorialNatural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (+4110.64%)
Gasyori100knockimage processing codes to understand algorithm
Stars: ✭ 1,988 (+745.96%)
Psi4numpyCombining Psi4 and Numpy for education and development.
Stars: ✭ 170 (-27.66%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-17.45%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (-13.19%)
Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
Stars: ✭ 144 (-38.72%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-10.21%)
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (-7.23%)
TutorialTutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (-5.11%)
Comp Genomics ClassCode and examples for JHU Computational Genomics class
Stars: ✭ 228 (-2.98%)
Pandas HighchartsBeautiful charting of pandas.DataFrame with Highcharts
Stars: ✭ 233 (-0.85%)