Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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NaivecnnA naive (very simple!) implementation of a convolutional neural network
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PynamicalPynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
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Mlcourse.aiOpen Machine Learning Course
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DatscanDatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
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numpy-tutorialsNumPy tutorials & educational content in notebook format
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ewstoolsPython package for early warning signals (EWS) of bifurcations in time series data.
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pypinmProgramiranje in numerične metode v ekosistemu Pythona
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SimplePythonCNNOnly in native python & numpy with Keras interface
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NumPyANNImplementation of Artificial Neural Networks using NumPy
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tapmapCommand line keyboard heatmap generator.
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multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
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fattailsCode and Notes for fat-tailed statistics.
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linbaserThe program on a given grid from a file builds an approximation of the function by a piecewise linear basis. Made mostly in Russian, because of university subject.
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notebooksThis repo contains notebooks that explaining some cool stuff we learn every now and then...
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audiophileAudio fingerprinting and recognition
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EngeznyEngezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.
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notebooksmy-deeplearning-practice-notebooks
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PVMismatchAn explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.
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xtensor-rR bindings for xtensor
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BlockAn intelligent block matrix library for numpy, PyTorch, and beyond.
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datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
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galoisA performant NumPy extension for Galois fields and their applications
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saddleSADDLE: Scala Data Library
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PyTorch.docsOffline documentation built from official PyTorch release
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skinnerSkin export / import tools for Autodesk Maya
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parallel-corpora-toolsTools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.
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notebook-free-notebookA professional, lock-in-free Jupyter dev env for coders, teams and non-trivial, large Jupyter projects
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transonic🚀 Make your Python code fly at transonic speeds!
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rlss-2019Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
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ipynb notedown.vimvim plugin for editing jupyter notebook (ipynb) files through notedown
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CC33ZCurso de Ciência da Computação
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neural name taggingCode for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)
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lidar-busterCollection of Python snippets for processing LiDAR point cloud.
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tempo-cnnFramework for estimating temporal properties of music tracks.
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nusaA Python library for structural analysis using the finite element method
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tensorflow-artArtwork Classifier based on a Tensorflow Deep Neural Network
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Neural-TileA better tiling script for Neural-Style
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covid-19Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.
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DatasetsTFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
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onelinerhub2.5k code solutions with clear explanation @ onelinerhub.com
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Data-Wrangling-with-PythonSimplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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EinopsDeep learning operations reinvented (for pytorch, tensorflow, jax and others)
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Neural Network From ScratchEver wondered how to code your Neural Network using NumPy, with no frameworks involved?
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hamiltonA scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.
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Jetson ContainersMachine Learning Containers for NVIDIA Jetson and JetPack-L4T
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PyfasttextYet another Python binding for fastText
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ml-aiML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
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NDScalaN-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types
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