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acm-icpc-algorithms

Algorithms used in Competitive Programming

autograd

Efficiently computes derivatives of numpy code.

awesome-public-datasets

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

bayesiantutorials

Implementing MCMC sampling from scratch in R for various Bayesian models

bc18-scaffold

clad

clad -- the automatic differentiation plugin for clang

codipack

Fast gradient evaluation in C++ based on Expression Templates.

competitive-coding

My solutions to competitive coding problems from various contest sites

competitive-programming-algorithms

The purpose of this repository is to get all the Algorithms required for Competitive Programming at one place. This will be very helpful. Also one can contribute to this repository and learn something from this.

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cp-bored-button

Gives random competitive programming problems based on the problems already solved.

curl_rainbow

deeplabcut

Markerless pose estimation of user-defined features with deep learning for all animals

deeplabcut-1

A Bonsai interface for real-time markerless pose estimation using DeepLabCut

determined

Determined: Deep Learning Training Platform

dirichlet-process

Test runs of the implementation of the dirichlet process module in pyMC3

dmtk

Microsoft Distributed Machine Learning Toolkit

dp_pymc3-docs_issue

Unconverged chain in DP mixture example

githubgraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

graphql-js

A reference implementation of GraphQL for JavaScript

graphql-to-postman

Plugin for converting GraphQL to the Postman Collection (v2) format

harivallabha

Bio

harivallabha.github.io

Work, Musings and Whatnot ~ Life, Code and the Keyboard.

kaggle-contests

Solutions for various datasets and contests on Kaggle

kiko

kornia

Open Source Differentiable Computer Vision Library for PyTorch

kubernetes-operator

Kubernetes native Jenkins Operator

ldaopt

C++ implementation of LDA using Gibbs sampling with hyperparameter optimization. Modified version of GibbsLDA++.

limbo

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)

msongsdb

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.