serenidpity's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
algorithms
Minimal examples of data structures and algorithms in Python
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
awesome-diarization
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
BayesianTracker
Bayesian multi-object tracking
changepoint
A place for the development version of the changepoint package on CRAN.
Changepoints.jl
A Julia package for the detection of multiple changepoints in time series.
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
fiveMinuteStats
A repo of short "vignettes" illustrating statistical concepts
imageio
Python library for reading and writing image data
neural-disaggregator
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
numerical-tours
Numerical Tours of Signal Processing
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
scikit-learn
scikit-learn: machine learning in Python
seglearn
Python module for machine learning time series:
SpectralCluster
Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorboard
TensorFlow's Visualization Toolkit
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs