Pinned Repositories
BatchNormalization
CannedBeer
Convex-optimization
Implementation of Algos related to optimization problems and game theory in scala
cs231n.github.io
Public facing notes page
Dist-Matrix
Distributed Matrix algo and it's operations over apache spark
DistARM
Distributed Associative Rule Mining Algo Implementation over apache spark
DL-TF
Boxing with tensorflow .. Cheers!!
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
ML-Tryouts
Contains several Machine Learning and Deep Learning algos Implementation in scala
PyML
Machine learning algos over python using numpy and theano
rahulchandrangb's Repositories
rahulchandrangb/Dist-Matrix
Distributed Matrix algo and it's operations over apache spark
rahulchandrangb/DistARM
Distributed Associative Rule Mining Algo Implementation over apache spark
rahulchandrangb/DL-TF
Boxing with tensorflow .. Cheers!!
rahulchandrangb/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
rahulchandrangb/ML-Tryouts
Contains several Machine Learning and Deep Learning algos Implementation in scala
rahulchandrangb/PyML
Machine learning algos over python using numpy and theano
rahulchandrangb/BatchNormalization
rahulchandrangb/CannedBeer
rahulchandrangb/Convex-optimization
Implementation of Algos related to optimization problems and game theory in scala
rahulchandrangb/cs231n.github.io
Public facing notes page
rahulchandrangb/dc-ign
The Deep Convolutional Inverse Graphics Network
rahulchandrangb/DistAlgos
rahulchandrangb/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.
rahulchandrangb/HDP_antoniak_expts
rahulchandrangb/hierarchical-rnn
Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
rahulchandrangb/logAnalytix
Log file analytics platform
rahulchandrangb/models
rahulchandrangb/mujoco_menagerie
A collection of high-quality models for the MuJoCo physics engine, curated by DeepMind.
rahulchandrangb/pose-aligned-deep-networks
Pose Aligned Networks for Deep Attribute Modeling matlab code used for the publication here: http://arxiv.org/abs/1311.5591
rahulchandrangb/PyRevs
rahulchandrangb/PythonBooster
Learning Python with ML
rahulchandrangb/rahulchandrangb.github.io
rahulchandrangb/SampleWeb
rahulchandrangb/scalaTryouts
rahulchandrangb/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.
rahulchandrangb/triplet-criterion
A loss function based on the distances between anchor, positive and negative embeddings used in FaceNet