Kais Bedioui's starred repositories
Prompt-Engineering-Guide
π Guides, papers, lecture, notebooks and resources for prompt engineering
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
supervision
We write your reusable computer vision tools. π
openvino_notebooks
π Jupyter notebook tutorials for OpenVINOβ’
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
yolo_deepstream
yolo model qat and deploy with deepstream&tensorrt
encord-active
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
vision-transformer-pytorch
Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
deepstream-services-library
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
kili-python-sdk
Simplest and fastest image and text annotation tool.
transformers
Everything you need to know about Transformers! π€
papers-with-data
A curated list of papers that released datasets along with their work
JetsonCluster
Repo for instructions on setting up a micro compute cluster with the NVidia Jetson Nano boards and potentially Ansible playbooks for configuration and setup.
highest_cited_ml_conference_paper
A github page that displays the highest cited machine learning conference paper.