Krishna Vishal (krishvishal)

krishvishal

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Krishna Vishal's repositories

AbstractMCMC.jl

Abstract types and interfaces for Markov chain Monte Carlo methods

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AdvBayesLearnCourse

Course material for the PhD course in Advanced Bayesian Learning

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audio-ai-timeline

A timeline of the latest AI models for audio generation, starting in 2023!

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aws-lambda-container-julia

An example of running Julia program as AWS Lambda using container image

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AWS.jl

Julia interface to AWS

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BayesOnline_ChangePoint_Detection

MATLAB implementation of Bayesian Online ChangePoint Detection

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bioinfo

Various bioinformatics tools

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BisectPy.jl

Migrating bisect module from Python to Julia

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CH5115-Assignments

Parameter and State Estimation Course, IITM

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crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

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deep-orderbook

Deep learning modelling of orderbooks

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every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

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FastLogSumExp.jl

fast logsumexp functions that leverage LoopVectorization

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ForwardDiff.jl

Forward Mode Automatic Differentiation for Julia

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FromFile.jl

Julia enhancement proposal (Julep) for implicit per file module in Julia

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MatmulTutorial

A Easy-to-understand TensorOp Matmul Tutorial

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md-blogs

A blog where I write about research papers and blog posts I read.

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music_metriclearning

A PyTorch implementation of the paper "Deep ranking: Triplet MatchNet for music metric learning"

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pfann

Neural network Audio Fingerprint

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poetry-cheatsheet

A super simple cheatsheet for poetry because I forget easily.

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ProbabilityModels.jl

Probability models with `y ~ Normal(mu, sigma)` style syntax and reverse mode AD for gradients; WIP. Prioritizes runtime performance.

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python-package-template

A template repo for Python packages

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rayTracerCPP

Ray Tracer in C++

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renn

RENN

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ResNet.jl

ResNet implementation in Julia w/ pretrained Imagenet weights

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SegWithDistMap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

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Turing.jl

Bayesian inference with probabilistic programming.

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unsloth

5X faster 50% less memory LLM finetuning

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