mle-invn's Stars
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
chiphuyen/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
cboxdoerfer/fsearch
A fast file search utility for Unix-like systems based on GTK3
paperswithcode/galai
Model API for GALACTICA
tefkah/zotero-night
Night theme for Zotero UI and PDF
rmcelreath/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
xiaolai-sqlai/mobilenetv3
mobilenetv3 with pytorch,provide pre-train model
Jonathan-LeRoux/IguanaTex
A PowerPoint add-in to insert LaTeX equations into PowerPoint presentations on Windows and Mac
larq/larq
An Open-Source Library for Training Binarized Neural Networks
pnkraemer/tueplots
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
ARM-software/mango
Parallel Hyperparameter Tuning in Python
mlcommons/tiny
MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
quic/aimet-model-zoo
Tiiiger/QPyTorch
Low Precision Arithmetic Simulation in PyTorch
Bisonai/awesome-edge-machine-learning
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
joaopauloschuler/k-neural-api
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
deanbot/easy-wsl-oh-my-zsh-p10k
Setup WSL, Windows Terminal, Zsh, Oh My Zsh and Powerlevel10k
human-analysis/MUXConv
MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation
scaledown-team/study-group
Syllabus, schedule, resources etc. for TinyML study group
lionelmessi6410/tensorflow2-cifar
95.76% on CIFAR-10 with TensorFlow2
roman-vygon/BCResNet
Broadcasted Residual Learning for Efficient Keyword Spotting
sajaddarabi/BiRealNet
Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights
lnalborczyk/phd_thesis
Available online: https://lnalborczyk.github.io/phd_thesis/
Bisonai/edgebenchmark
Measure the speed of your machine learning models on real devices!
nicomagnet/template_UGA_manuscrit_ENG
The goal of this repository is to cut out all of the hard work of using LaTeX so that one could easily write their dissertation/thesis for the Université Grenoble Alpes. (Date update October 2022)
scaledown-team/scaledown
Scaledown Package
scaledown-team/tinymlops_book
rafaelcelestre/celestre_phd_thesis
PhD thesis presented by Rafael CELESTRE (01/02/2021)