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[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
A CLI tool can create a specific task-dataset you want based on COCO dataset. Given the annotation JSON file, this tool will help you download the data and set the symbolic links from data_dir to t…
The "breathing k-means" algorithm with datasets and example notebooks
This is a implementation of integrating a simple but efficient attention block in CNN + bidirectional LSTM for video classification.
Tensorflow implementation of the VAE with VampPrior paper (https://arxiv.org/abs/1705.07120) for the Machine Learning, Advanced Course at KTH
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Interpretability and explainability of data and machine learning models
Refine high-quality datasets and visual AI models
moDel Agnostic Language for Exploration and eXplanation
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A toolbox to iNNvestigate neural networks' predictions!
Lookahead mechanism for optimizers in Keras.
A wrapper layer for stacking layers horizontally
Neural network visualization toolkit for keras
A lightweight header-only library for using Keras (TensorFlow) models in C++.
A darker theme for qBittorrent WebUI (ispired by Cozzy's theme: userstyles.org/styles/152766)
A memory allocator that automatically reduces the memory footprint of C/C++ applications.
Plasma 5 plasmoid showing your gmail feed (based on anthon38/gmailfeed)
Test MXNet C++ API for doing inference, given a trained model
Add gradient noise to any Keras optimizer
User defined static call-tree constraints in C++. This is the implementation of the tool for my masters thesis.