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AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

Translated🏠 Turn the Xiaoai speaker into a true AI smart butler: Xiaoai speaker + Xiaozhi + Hermes Agent + Home Assistant, with one Xiao Qi managing all whole-home devices such as Mijia and Haier. Control and query appliances by voice, scheduled tasks run on time, teach scenes and automations with a single sentence, proactive announcements and water leak alarms, all without opening an app or writing automations.

Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.

  • calibration
  • cuda
  • cuda-graphs
  • decision-making

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

  • ros
  • ros-kinetic
  • ros-packages
  • rviz

TranslatedAn industrial anomaly detection project based on PatchCore, studying layer2/layer3 score fusion, sensitivity-guided shrinkage, and risk-controlled gating, and providing an engineering-oriented Streamlit demo.