v-i-s-h

Runner.jl

Provides `@runit` macro for running scripts with commandline arguments from REPL

dl-vi-comm

Code for the paper "Design of communication systems using deep learning: A variational inference perspective"

neozot-py

get recommendations from arxiv based on your zotero library

ai-tools

An index of openly available AI models and tools

ModelMiner.jl

One package to train them all

summary-likelihood

Incorporating summary prior information to Bayesian Deep Learning

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

CodeTF

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

CompatHelper.jl

Automatically update the [compat] entries for your Julia package's dependencies

Continuous-Recurrent-Units

diffusion-models

Implementation of diffusion model algorithms

dl-interpretability

Exploring Deep Learning interpretablity

dotfiles

gwas-course-julia

Julia implementation of code for GWAS course

Hands-On-Natural-Language-Processing-with-PyTorch-1.x

Hands-On Natural Language Processing with PyTorch 1.x, published by Packt

ib-dnn

Information bottleneck in deep neural networks

IoMT

Internet of My Things

julia-sketchbook

A collection of julia scripts from web. Mainly for education purposes.

larq

An Open-Source Library for Training Binarized Neural Networks

libplinkio

A small C and Python library for reading PLINK genotype files.

opencv-sketchbook

Collection of opencv programs

rethinking-bnn

Repository for NIPS Reproducibility Challenge 2019 for the paper titled "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"

rust-cookbook

https://rust-lang-nursery.github.io/rust-cookbook

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

test-codes

This reposotory contains test codes for different libraries/frameworks

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Turing.jl

Bayesian inference with probabilistic programming.

TuringTutorials

Educational material and tutorials for the Turing language

v-i-s-h.github.io

My personal website.

zookeeper

A small library for managing deep learning models, hyperparameters and datasets