rahulchandrangb Goto Github PK

batchnormalization

cannedbeer

convex-optimization

Implementation of Algos related to optimization problems and game theory in scala

cs231n.github.io

Public facing notes page

dc-ign

The Deep Convolutional Inverse Graphics Network

dist-matrix

Distributed Matrix algo and it's operations over apache spark

distalgos

distarm

Distributed Associative Rule Mining Algo Implementation over apache spark

dl-tf

Boxing with tensorflow .. Cheers!!

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

hdp_antoniak_expts

hierarchical-rnn

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

imageproc

This contains examples based on classical image processing techniques. The idea is to tryout various masking, edge detection, segmentation techs, sift,hog, deformable part models [dpm] etc

loganalytix

Log file analytics platform

ml-tryouts

Contains several Machine Learning and Deep Learning algos Implementation in scala

models

mujoco_menagerie

A collection of high-quality models for the MuJoCo physics engine, curated by DeepMind.

pose-aligned-deep-networks

Pose Aligned Networks for Deep Attribute Modeling matlab code used for the publication here: http://arxiv.org/abs/1311.5591

pyml

Machine learning algos over python using numpy and theano

pyrevs

pythonbooster

Learning Python with ML

rahulchandrangb.github.io

sampleweb

scalatryouts

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

triplet-criterion

A loss function based on the distances between anchor, positive and negative embeddings used in FaceNet