Vimal Thilak (vimalthilak)

vimalthilak

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Location:Daly City, CA

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Vimal Thilak's starred repositories

pytorch-for-numpy-users

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

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netvlad_tf_open

Tensorflow port of https://github.com/Relja/netvlad

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LessMore

Learning Less is More - 6D Camera Localization via 3D Surface Regression

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mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

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vision-hw2

Stitch together some panoramas!

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relocforests

C++ implementation of Scene Coordinate Regression Forests for Camera Relocalization.

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opencv-swig

SWIG interface files for OpenCV types.

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Fast-Pandas

Benchmark for different operations in pandas against various dataframe sizes.

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swift-algorithm-club

Algorithms and data structures in Swift, with explanations!

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DEPRECATED-data-structures

A collection of powerful data structures

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the-coding-interview

Programming exercises, code katas and puzzles for your job interview training - or just for fun.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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tinyrenderer

A brief computer graphics / rendering course

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stanfordacm

Stanford ACM-ICPC related materials

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probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

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ctci_v6

:books: Cracking the Coding Interview 6th edition problems

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paper-notes

List of papers to read, and notes after I read them.

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notebook_leetcode

my solution to leetcode problems

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photoanon

Moved to gitlab

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Net2Net

numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641

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ski

Sense Key Index for inter-operability between WordNet-related projects

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sigal

yet another simple static gallery generator

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modern-cpp-features

A cheatsheet of modern C++ language and library features.

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fast-weights

Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)

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pybind11

Seamless operability between C++11 and Python

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TI-pooling

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

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pycuda

CUDA integration for Python, plus shiny features

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CoinSorter

Sorts coins by solenoid on a conveyor by classifying images with Caffe & DIGETS

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