MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-81.98%)
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+9.37%)
RadioRadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-84.29%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+85.48%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+607.3%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-83.81%)
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 (-96.11%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-96.67%)
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 (-86.9%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-91.83%)
EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+270.95%)
ProbabilityProbabilistic reasoning and statistical analysis in TensorFlow
Stars: ✭ 3,550 (+181.75%)
Edward2A simple probabilistic programming language.
Stars: ✭ 419 (-66.75%)
Docker Iocaml DatascienceDockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
Stars: ✭ 30 (-97.62%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (-22.86%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-97.22%)
JupytemplateTemplates for jupyter notebooks
Stars: ✭ 85 (-93.25%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (-22.06%)
PixiedustPython Helper library for Jupyter Notebooks
Stars: ✭ 998 (-20.79%)
Ds Take HomeMy solution to the book A Collection of Data Science Take-Home Challenges
Stars: ✭ 1,004 (-20.32%)
PresentationsTalks & Workshops by the CODAIT team
Stars: ✭ 50 (-96.03%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (-15.71%)
YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-96.75%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-95.79%)
Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
Stars: ✭ 57 (-95.48%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-97.7%)
Mlnet WorkshopML.NET Workshop to predict car sales prices
Stars: ✭ 29 (-97.7%)
Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-97.3%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (-21.75%)
Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
Stars: ✭ 21 (-98.33%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+551.9%)
Numerical Linear AlgebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Stars: ✭ 8,263 (+555.79%)
MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (-14.92%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-95.56%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-98.41%)
Ntds 2017Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Stars: ✭ 61 (-95.16%)
Ai PlatformAn open-source platform for automating tasks using machine learning models
Stars: ✭ 61 (-95.16%)
LovaszsoftmaxCode for the Lovász-Softmax loss (CVPR 2018)
Stars: ✭ 1,148 (-8.89%)
W2vWord2Vec models with Twitter data using Spark. Blog:
Stars: ✭ 64 (-94.92%)
Etl with pythonETL with Python - Taught at DWH course 2017 (TAU)
Stars: ✭ 68 (-94.6%)
Allstate capstoneAllstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-94.29%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-95.32%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-94.52%)
SuspeitandoProjeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.
Stars: ✭ 76 (-93.97%)
Math And Ml NotesBooks, papers and links to latest research in ML/AI
Stars: ✭ 76 (-93.97%)
Learning pythonSource material for Python Like You Mean it
Stars: ✭ 78 (-93.81%)
Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
Stars: ✭ 1,212 (-3.81%)
NotebooksA collection of Jupyter/IPython notebooks
Stars: ✭ 78 (-93.81%)