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PyCIL: A Python Toolbox for Class-Incremental Learning
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
FSAF (Feature Selective Anchor-Free Module for Single-Shot Object Detection) implementation in Keras and Tensorflow
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Machine learning resources，including algorithm, paper, dataset, example and so on.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
Pelee: A Real-Time Object Detection System on Mobile Devices
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018
Source code for Robust Face Detection via Learning Small Faces on Hard Images
pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)
Modified implementation for DVSNet based on Tensorflow
All the trained models used while developing YOLO-LITE
Retina blood vessel segmentation with a convolutional neural network