Pinned Repositories
scikit-learn
scikit-learn: machine learning in Python
harris_corners
The script evaluates Harris-Stephens corner points for a give RGB or grayscale image
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
mlr
mlr: Machine Learning in R
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
GPflow
Gaussian processes in TensorFlow
hough_transform
Detecting line and circle parameters via Hough Transformation
ashimb9's Repositories
ashimb9/scipy
Scipy library main repository
ashimb9/scikit-learn
scikit-learn: machine learning in Python
ashimb9/jupyterlab_dstools
ashimb9/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
ashimb9/tensorflow
Computation using data flow graphs for scalable machine learning
ashimb9/ray
A high-performance distributed execution engine
ashimb9/harris_corners
The script evaluates Harris-Stephens corner points for a give RGB or grayscale image
ashimb9/mlpack
mlpack: a scalable C++ machine learning library --
ashimb9/DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
ashimb9/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ashimb9/pyro
Deep universal probabilistic programming with Python and PyTorch
ashimb9/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ashimb9/numpy
Numpy main repository
ashimb9/imputemachine
Missing Data Imputation with Machine Learning Models and Algorithms
ashimb9/models
Models built with TensorFlow
ashimb9/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
ashimb9/GPflow
Gaussian processes in TensorFlow
ashimb9/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
ashimb9/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
ashimb9/mlr
mlr: Machine Learning in R
ashimb9/imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
ashimb9/impute
This is a read-only mirror of the Bioconductor SVN repository. Package Homepage: http://bioconductor.org/packages/devel/bioc/html/impute.html Bug Reports: https://support.bioconductor.org/p/new/post/?tag_val=impute.
ashimb9/VIM
This package introduces new tools for the visualization of missing and/or imputed values, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missings and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods.
ashimb9/missForest
missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.
ashimb9/hough_transform
Detecting line and circle parameters via Hough Transformation