themaikelman's Stars
bsc-performance-tools/paraver-kernel
wxParaver is a trace-based visualization and analysis tool designed to study quantitative detailed metrics and obtain qualitative knowledge of the performance of applications, libraries, processors and whole architectures.
ronibandini/reggaetonBeGone
Detects reggaeton genre with Machine Learning and sends packets to disable BT speakers (hopefully)
interactionresearchstudio/NaturewatchCameraServer
A Python / OpenCV camera server to stream Pi camera content to a remote client through a website.
Ileriayo/markdown-badges
Badges for your personal developer branding, profile, and projects.
admin-shell-io/aasx-package-explorer
C# based viewer / editor for the Asset Administration Shell
palmerabollo/ludivina
Ludivina - Thermal Printer Bot for Telegram
Azure/azure-sdk-for-go
This repository is for active development of the Azure SDK for Go. For consumers of the SDK we recommend visiting our public developer docs at:
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
semantic-release/semantic-release
:package::rocket: Fully automated version management and package publishing
Flexget/Flexget
The official FlexGet repository
iterative/dvc
🦉 Data Versioning and ML Experiments
junegunn/fzf
:cherry_blossom: A command-line fuzzy finder
ichasco/Docker-Wordpress
sepandhaghighi/pycm
Multi-class confusion matrix library in Python
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
hoya012/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
minimaxir/automl-gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
NVlabs/SPADE
Semantic Image Synthesis with SPADE
fizyr/keras-retinanet
Keras implementation of RetinaNet object detection.
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
grpc/grpc
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
agaldran/amef_dehazing
AMEF - Artificial Multiple Exposure Fusion for Image Dehazing
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
lisa-lab/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
Yijunmaverick/UniversalStyleTransfer
The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.
tensorflow/models
Models and examples built with TensorFlow