YannlYet another neural network library
Stars: ✭ 37 (-73.57%)
Islr With PythonIntroduction to Statistical Learning with R을 Python으로
Stars: ✭ 73 (-47.86%)
Glmm In PythonGeneralized linear mixed-effect model in Python
Stars: ✭ 131 (-6.43%)
AnalyticsSimple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Stars: ✭ 9,469 (+6663.57%)
Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
Stars: ✭ 21 (-85%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+517.14%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-10%)
hdfeNo description or website provided.
Stars: ✭ 22 (-84.29%)
H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+832.14%)
Sci PypeA Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Stars: ✭ 90 (-35.71%)
SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
Stars: ✭ 131 (-6.43%)
Computer VisionComputer vision sabbatical study materials
Stars: ✭ 39 (-72.14%)
Promcord📊 Analyze your entire discord guild in grafana using prometheus. Message, User, Game and Voice statistics...
Stars: ✭ 39 (-72.14%)
Machine Learning AlgorithmsA curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.
Stars: ✭ 92 (-34.29%)
Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
Stars: ✭ 1,014 (+624.29%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+5767.14%)
Chemometricstools.jlA collection of tools for chemometrics and machine learning written in Julia.
Stars: ✭ 39 (-72.14%)
PresentationsTalks & Workshops by the CODAIT team
Stars: ✭ 50 (-64.29%)
Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-65%)
Plotly.pyThe interactive graphing library for Python (includes Plotly Express) ✨
Stars: ✭ 10,701 (+7543.57%)
Urban Sound ClassificationUrban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)
Stars: ✭ 39 (-72.14%)
ProbflowA Python package for building Bayesian models with TensorFlow or PyTorch
Stars: ✭ 95 (-32.14%)
MachinelearningA repo with tutorials for algorithms from scratch
Stars: ✭ 96 (-31.43%)
Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Stars: ✭ 1,341 (+857.86%)
Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+855.71%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+8341.43%)
NeuralnetplaygroundA MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
Stars: ✭ 60 (-57.14%)
ExcelizeGolang library for reading and writing Microsoft Excel™ (XLSX) files.
Stars: ✭ 10,286 (+7247.14%)
Python Data Science HandbookA Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
Stars: ✭ 102 (-27.14%)
ModelsDLTK Model Zoo
Stars: ✭ 101 (-27.86%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-26.43%)
Mlatimperial2017Materials for the course of machine learning at Imperial College organized by Yandex SDA
Stars: ✭ 71 (-49.29%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+604.29%)
GlassesHigh-quality Neural Networks for Computer Vision 😎
Stars: ✭ 138 (-1.43%)
HackermathIntroduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Stars: ✭ 1,380 (+885.71%)
Data Science WgSF Brigade's Data Science Working Group.
Stars: ✭ 135 (-3.57%)
GpstuffGPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (-24.29%)
SupersetApache Superset is a Data Visualization and Data Exploration Platform
Stars: ✭ 42,634 (+30352.86%)
Lossfunctions.jlJulia package of loss functions for machine learning.
Stars: ✭ 89 (-36.43%)
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+884.29%)
YaboxYet another black-box optimization library for Python
Stars: ✭ 103 (-26.43%)
Tennis Crystal BallUltimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Stars: ✭ 107 (-23.57%)
Scikit Learnscikit-learn: machine learning in Python
Stars: ✭ 48,322 (+34415.71%)