Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

Interview Questions and Answers for Machine Learning Engineer role

A collection of libraries to optimise AI model performances

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

Accelerated pose estimation and tracking using semi-supervised learning

A simplified, autogenerated API client interface using the databricks-cli package

Official PyTorch Implementation of Image Generation from Layout - CVPR 2019

Framework for automatically porting PyTorch neural networks to CMSIS-NN.

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Portrait dataset for segmentation of humans

GPU fan control for headless Linux

Progress bar for deep learning training iterations💈

Machine learning metrics for distributed, scalable PyTorch applications.

Lightweight, dependency-free Python library and CLI for downloading YouTube videos, playlists, and captions.

A HOG pedestrian detection benchmark

μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.

HDR image reconstruction from a single exposure using deep CNNs

Arm Machine Learning tutorials and examples

Latex code for making neural networks diagrams

Code and supplementary material for "Poisoning Attacks on Algorithmic Fairness", ECML 2020.

☕ EPIC-KITCHENS-55 dataset python library

Llibre de programació de sistemes encastats

Renders TeXy Math for Github Readme - No longer needed with official MathTex support on GH

A-Paper-A-Week

Flops counter for neural networks in pytorch framework

pytorch model summary, statistic parameters number, memory usage, FLOPs and so on

✉️ Unofficial desktop client for ProtonMail

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.