tdeboissiere

DeepLearningImplementations

Implementation of recent Deep Learning papers

cookiecutter-deeplearning

Project folder structure for doing and sharing deep learning work.

DeepLearningBenchmarks

SuperNNova

python-format-action

handwriting

Handwriting generation

Miscellaneous

bayesnn

BRNN

dvc

⚡️Data & models versioning for ML projects, make them shareable and reproducible

MultiGAN

alpine-machine-learning-base

Container to easy build stuffs for Python in another containers

ansible-role-zsh

An Ansible role for setting up zsh and oh-my-zsh. It will add the themes 'spaceship' and 'bullet-train' (used) as well as some useful configs.

black-test

bobby

Configs

crepe

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

deepsparse

CPU inference engine that delivers unprecedented performance for sparse models

DockerFiles

dvc.org

🔗DVC website and documentation source code

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

FullyEnd2EndCNN

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rbnn

rnnoise

Recurrent neural network for audio noise reduction

sparseml

Libraries and state-of-the-art automatic sparsification algorithms to simplify and accelerate performance

sparsify

Easy-to-use autoML interface to optimize deep neural networks for better inference performance and a smaller footprint.

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

vespene-io.github.io

Source for docs.vespene.io, source lives in the main Vespene repo's "docs" folder.

YellowFin

auto-tuning momentum SGD optimizer