mschellenHRW's Stars
FareedKhan-dev/Building-llama3-from-scratch
LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.
bmartacho/UniPose
We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.
eldar/pose-tensorflow
Human Pose estimation with TensorFlow framework
pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
yangsenius/TransPose
PyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.
CIVCPeiHongwei/TransPose
TransPose: Towards Explainable Human Pose Estimation by Transformer
brandmaier/shiny_workshop_2024
Shiny for Scientists Workshop by Andreas Brandmaier and Leonie Hagitte
Azure/PyRIT
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
lava-nc/lava-optimization
Neuromorphic mathematical optimization with Lava
lava-nc/lava-dl
Deep Learning library for Lava
huawei-noah/HEBO
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
automl/amltk
A build-it-yourself AutoML Framework
tornede/py_experimenter
The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database.
automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
mlr-org/mlr3torch
Deep learning framework for the mlr3 ecosystem based on torch
AlessandroPierro/automl-lava-tutorial
Tutorial on neuromorphic computing with Lava, hosted at the AutoML Fall School 2023
lava-nc/lava
A Software Framework for Neuromorphic Computing
brandmaier/shiny-workshop-2023
Shiny for Scientists Workshop
eclipse-qrisp/Qrisp
Qrisp - a framework for high-level programming of Quantum computers
AffectiveCognitiveInstitute/inclumove
Open Source Repository of the incluMOVE application.
ultralytics/ultralytics
Ultralytics YOLO11 🚀
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
project-chip/connectedhomeip
Matter (formerly Project CHIP) creates more connections between more objects, simplifying development for manufacturers and increasing compatibility for consumers, guided by the Connectivity Standards Alliance.
mpepping/solarman-mqtt
Send Solarman Smart PV inverter metrics to MQTT
microsoft/Azure-Kinect-Sensor-SDK
A cross platform (Linux and Windows) user mode SDK to read data from your Azure Kinect device.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
schlerp/flowpy
manipulate pandas dataframes from the comfort of your browser
xyflow/xyflow
React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable.