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Hello! I'm mostly interested in machine learning (both theory and applied), algorithms, and compiler/programming language theory. I also contribute to open source. You can see my webpage on the left.

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Siddhant Chaudhary's Projects

adam-vs-adagrad icon adam-vs-adagrad

A comparison of Adam and AdaGrad optimizers in TensorFlow. Look at the two main notebooks for the results.

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

chainrules.jl icon chainrules.jl

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

chainrulescore.jl icon chainrulescore.jl

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

docarray icon docarray

🧬 Represent, send, and store multimodal data · Neural Search · Vector Search · Document Store

dtables.jl icon dtables.jl

Distributed table structures and data manipulation operations built on top of Dagger.jl

fastai.jl icon fastai.jl

Repository of best practices for deep learning in Julia, inspired by fastai

flux.jl icon flux.jl

Relax! Flux is the ML library that doesn't make you tensor

lowess.jl icon lowess.jl

Hand translated version of Cleveland's Lowess.c

nnlib.jl icon nnlib.jl

Neural Network primitives with multiple backends

pkg.jl icon pkg.jl

Pkg - Package manager for the Julia programming language

promptingtools.jl icon promptingtools.jl

Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.

r-source icon r-source

Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

rflr-hw icon rflr-hw

Implementation of some reinforcement learning algorithms.

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