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autoborutarf

cnn-from-scratch

Implement feedforward, convolution neural network in C++ with only built-in libraries. This is a tutorial style project which implements back propagation in neural networks without using external libraries. A 2D Tensor is defined and all the required Linear Algebra operations are defined to perform required computations. Both the networks are tested on mnist dataset which is attached along the project.

data-science--cheat-sheet

Cheat Sheets

exercise-1

Second Trial

hello-world

My First Trial

indonlu

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

learning-state-representations-with-robotic-priors

Code and data accompaning the paper "Learning State Representations with Robotic Priors" (Jonschkowski and Brock, 2015).

osxfuse

FUSE extends macOS by adding support for user space file systems

pycox

Survival analysis with PyTorch

smart-video-workshop