V0XNIHILI

brevitas-utils

Various utilities for the Brevitas (https://github.com/Xilinx/brevitas) framework for neural network quantization in PyTorch

autolightning

Automating PyTorch Lightning via simple yet expressive configurations

torch-mate

Various tools/utilities for PyTorch

TCN-library

This project builds on top of the TCN in https://github.com/locuslab/TCN and extends it with ResNeXt style blocks and depthwise separable convolutions.

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

VideoGPT-Paper

VideoGPT-Moving-MNIST

AudioLoader

PyTorch Dataset for Speech and Music audio

pymeasure

Scientific measurement library for instruments, experiments, and live-plotting

cnn.c

C implementation of basic CNN modules

parametrizable-floating-point-verilog

Verilog library that supports IEEE754 floating point arithmetic with a parametrizable mantissa and exponent

few-shot-spoken-term-classification

A quick reimplementation of the two datasets ("digits" and "commands") proposed in the paper "An Investigation of Few-Shot Learning in Spoken Term Classification"

verible-formatter-action

verilog-array-operations

Verilog array operations like reshaping

causal-conv1d

Causal depthwise conv1d in CUDA, with a PyTorch interface

install-verilator-action

Install Verilator for use in a Github Action workflow

cs249r_book

Collaborative book for CS249r: Tiny Machine Learning

early-stopping

Early stopping for neural network training

neural-network-figures

This project contains various figures, diagrams and plots related to neural networks.

serverless-lambda-typescript-airbnb-eslint

AWS Lambda Serverless template, with AirBnB ESLint and Prettier setup :)

serverless-lambda-python3

AWS Lambda Serverless template for Python3 functions :)

brevitas

Brevitas: quantization-aware training in PyTorch

multilingual_kws

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

verible-linter-action

Automatic SystemVerilog linting in github actions with the help of Verible

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

model_optimization

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

QPyTorch

Low Precision Arithmetic Simulation in PyTorch

omniglot

Omniglot data set for one-shot learning

express-server-kill-after-inactivity

Simple Node.JS Express server which kills itself after inactivity. Can be bundled with the included Dockerfile.

chisel3

Chisel 3: A Modern Hardware Design Language