serenidpity,github

100-days-of-ml-code

100 Days of ML Coding

adaptive-multispeaker-separation

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

algorithms

Minimal examples of data structures and algorithms in Python

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-deep-learning-music

List of articles related to deep learning applied to music

awesome-deep-learning-papers

The most cited deep learning papers

awesome-diarization

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

awesome-fintech

A curated list of amazingly awesome financial libraries, resources and shiny things.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of HQ open datasets in public domains. PR ☛☛☛

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesiantracker

Bayesian multi-object tracking

bayespy

Bayesian Python: Bayesian inference tools for Python

blackjacksimulator

An simulator, which keeps the card count and tracks a player's score over many rounds of multi-deck Black Jack.

blog.sapegin.me

My tech blog

bnp

Bayesian nonparametric models for python

bnpy

Bayesian nonparametric machine learning for Python

cambridge-beamer

University of Cambridge house style for LaTeX Beamer

capdem

Discrete element method for unsaturated granular materials

cesium

Machine Learning Time-Series Platform

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.

cnn-dicom-segmentation

DICOM Image Segmentation with CNNs in Tensorflow

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

compressed_sensing

Enhancing Compressive Sensing with Neural Networks

computer-vision-techniques

Implementation of a few prevelant computer vision techniques using Python

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