vishalbelsare Goto Github PK

davemail

My email configuration, using mbsync, notmuch, msmtp, msmtpq, pgp, emacs and gnus-alias

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

dba

DBA: Averaging for Dynamic Time Warping

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

dbmap

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

dbnr

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

dbotsw

Dense Bag-of-Temporal-SIFT-Words

dbt

dbt (data build tool) is a command line tool that enables data analysts and engineers to transform data in their warehouse more effectively.

dc

Probabilistic logic language for inference, planning and learning in static and dynamic domains

dc-ga-dth-extend

Use of genetic algorithms to evolve thresholds in a directional change approach.

dc-ga-dth-results

DC + GA DTH Approach results.

dccp

A CVXPY extension for convex-concave programming

dcgenerator

Python package for generating Directional Changes - a technical analysis indicator - from time series.

dcor

Distance correlation and related E-statistics in Python

dcss_supplementary

Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).

dda-sindy-exploration

ddd

ddspls2

Data Driven Sparse PLS 2

deal

Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.

deal2lkit

A ToolKit library for deal.II

deap

Distributed Evolutionary Algorithms in Python

debugpy

An implementation of the Debug Adapter Protocol for Python

dec2vec

decision-making-in-finance

Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market

decomposets

A highly generic time series decomposition algorithm, applicable to temporal sequence segmentation (e.g., video, speech, motion sequences).

deconfounder_tutorial

deconv_sax

Representation Learning with Deconvolutional Networks for Multivariate Time Series

deconvolver

Empirical Bayes Deconvolution

deel-lip

Tensorflow 2 implementation of k-Lipschitz layers.

deep-admm-net