Pinned Repositories
DLBCL-Morph
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
gym-cooking
gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of CogSci 2020 conference award in computational modelling.
Histopathology-Stain-Color-Normalization
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images
LCSB-MIL
source code of Inter-MIL: self-interactive multi-instance learning
materials
Bonus materials, exercises, and example projects for our Python tutorials
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Rid039's Repositories
Rid039/DLBCL-Morph
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
Rid039/gym-cooking
gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of CogSci 2020 conference award in computational modelling.
Rid039/Histopathology-Stain-Color-Normalization
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images
Rid039/LCSB-MIL
source code of Inter-MIL: self-interactive multi-instance learning
Rid039/materials
Bonus materials, exercises, and example projects for our Python tutorials
Rid039/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Rid039/ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Rid039/ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Rid039/yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Rid039/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Rid039/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Rid039/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/