Pinned Repositories
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.
Deep-ADMM-NET-1
基于深度神经网络的ADMM算法研究
serenidpity's Repositories
serenidpity/100-Days-Of-ML-Code
100 Days of ML Coding
serenidpity/algorithms
Minimal examples of data structures and algorithms in Python
serenidpity/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
serenidpity/awesome-diarization
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
serenidpity/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
serenidpity/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
serenidpity/BayesianTracker
Bayesian multi-object tracking
serenidpity/cesium
Machine Learning Time-Series Platform
serenidpity/changepoint
A place for the development version of the changepoint package on CRAN.
serenidpity/Changepoints.jl
A Julia package for the detection of multiple changepoints in time series.
serenidpity/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
serenidpity/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
serenidpity/fastai
The fastai deep learning library, plus lessons and and tutorials
serenidpity/fiveMinuteStats
A repo of short "vignettes" illustrating statistical concepts
serenidpity/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
serenidpity/imageio
Python library for reading and writing image data
serenidpity/ML_course
EPFL Machine Learning Course, Fall 2018
serenidpity/neural-disaggregator
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
serenidpity/numerical-tours
Numerical Tours of Signal Processing
serenidpity/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
serenidpity/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
serenidpity/PRML
PRML algorithms implemented in Python
serenidpity/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
serenidpity/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
serenidpity/scikit-learn
scikit-learn: machine learning in Python
serenidpity/seglearn
Python module for machine learning time series:
serenidpity/SpectralCluster
Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
serenidpity/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
serenidpity/tensorboard
TensorFlow's Visualization Toolkit
serenidpity/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs