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Shlok Kumar Mishra's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

can icon can

PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".

cl1-hw icon cl1-hw

Homework assignments for Computational Linguistics I

corenlp icon corenlp

Stanford CoreNLP: A Java suite of Core NLP tools

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dragon-book-exercise-answers icon dragon-book-exercise-answers

Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理(紫龙书)第2版习题答案。

ffmpeg icon ffmpeg

mirror of git://source.ffmpeg.org/ffmpeg.git

jigsawpuzzlepytorch icon jigsawpuzzlepytorch

Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

lanify icon lanify

A local music website where you can find all your musics and stream them without incurring any data charges .

libsvm icon libsvm

LIBSVM -- A Library for Support Vector Machines (unofficial snapshot dist mirror)

mae-contrastive icon mae-contrastive

Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".

mage_scene icon mage_scene

A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

mobilecloud-14 icon mobilecloud-14

Source code and assignments for the Programming Cloud Services for Android Handheld Systems Course

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

openqa icon openqa

ephira based qestion-answer library

shlokk.github.io icon shlokk.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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