Kedar Tatwawadi (kedartatwawadi)

kedartatwawadi

Geek Repo

Company:Stanford University

Location:Palo Alto

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Kedar Tatwawadi's starred repositories

zstd

Zstandard - Fast real-time compression algorithm

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gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

Language:PythonLicense:NOASSERTIONStargazers:22056Issues:637Issues:262

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: ๐Ÿ‡บ๐Ÿ‡ธ ๐Ÿ‡จ๐Ÿ‡ณ ๐Ÿ‡ฏ๐Ÿ‡ต ๐Ÿ‡ฎ๐Ÿ‡น ๐Ÿ‡ฐ๐Ÿ‡ท ๐Ÿ‡ท๐Ÿ‡บ ๐Ÿ‡ง๐Ÿ‡ท ๐Ÿ‡ช๐Ÿ‡ธ

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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TensorFlow-World

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

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practical-pytorch

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

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sdsl-lite

Succinct Data Structure Library 2.0

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machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

stat212b

Topics Course on Deep Learning UC Berkeley

isa-l

Intelligent Storage Acceleration Library

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rwa

Machine Learning on Sequential Data Using a Recurrent Weighted Average

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biotools

A list of useful bioinformatics resources

Basecalling-comparison

A comparison of different Oxford Nanopore basecallers

Language:PythonLicense:GPL-3.0Stargazers:313Issues:50Issues:22

ryg_rans

Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).

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FusionNet-NLI

An example for applying FusionNet to Natural Language Inference

Spring

FASTQ compression

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integer_discrete_flows

Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression." Conference on Neural Information Processing Systems (2019).

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flappie

Flip-flop basecaller for Oxford Nanopore reads

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stanford_compression_library

The goal of the library is to help with research in the area of data compression. This is not meant to be fast or efficient implementation, but rather for educational purpose

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ProtographLDPC

Implementation of Protograph LDPC error correction codes

Language:Jupyter NotebookLicense:MITStargazers:43Issues:5Issues:0

pirs

profile basd Illumina pair-end Reads Simulator

Language:C++License:GPL-2.0Stargazers:24Issues:5Issues:13

aomanalyzer.io

AV1 Bitstream Analyzer in browser for local ivf/obu/webm/avif bitstream

nanopore_dna_storage

DNA storage for nanopore sequencing using convolutional coding and basecaller-decoder integration

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VT_codes

Python implementation of Varshamov-Tenengolts codes for correction of single insertion/deletion errors

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ldpc-constructions-sandbox

Built on Radford Neal's base library for LDPC codes. Added constructions for regular and protograph codes, through the bipartite representation.

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