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rakeshvar's Projects

anyboost.jl icon anyboost.jl

A julia based machine learning package for boosting any loss, activation and constraint.

cifar icon cifar

State-of-the-art results in Cifar 100 using theano and theanet. Convolutional Neural Networks with Data Augmentation.

code_in_telugu icon code_in_telugu

తెలుఁగులో యంత్రలిపి వ్రాయుట ఎలా

cowboxer icon cowboxer

Automatically exported from code.google.com/p/cowboxer

exercises icon exercises

Some small coding exercises in mathematics, statistics, algorithms, puzzles, etc.

explore-ctc-loss.jl icon explore-ctc-loss.jl

We explore various ways of implementing the Connectionist Temporal Classification (CTC) Loss function in Julia with Zygote (or not).

kmedoids icon kmedoids

K-medoids unsupervised clustering. Implemented in Python and Numpy. Vectorized to work for huge datasets.

lekhaka icon lekhaka

Scribe for Complex scripts including Indian Languages like Telugu. Writes to image to numpy array.

neural-sanskrit icon neural-sanskrit

A Neural Network that learns to predict Sanskrit text and learns vector representations for the Aksharas(syllables).

ocropy icon ocropy

Python-based tools for document analysis and OCR

rnn_ctc icon rnn_ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

theanet icon theanet

Convolutional Neural Network for Image Classification with Theano.

theano-hf icon theano-hf

General purpose Hessian-free optimization in Theano

theano-rnn icon theano-rnn

Demonstration of recurrent neural network implemented with Theano

zygote-mutating-arrays-workaround.jl icon zygote-mutating-arrays-workaround.jl

A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.

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