peteryuX / tensorflow-GHM-lossLinks
The unofficial tensorflow implementation of loss weights of in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral). With Colab.
☆29Updated 5 years ago
Alternatives and similar repositories for tensorflow-GHM-loss
Users that are interested in tensorflow-GHM-loss are comparing it to the libraries listed below
Sorting:
- Focal Loss of multi-classification in tensorflow☆81Updated 6 years ago
- A universal and efficient framework for training well-performing light net☆125Updated 8 years ago
- Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)☆66Updated 6 years ago
- lookahead optimizer for keras☆171Updated 6 years ago
- wrapping a keras optimizer to implement gradient accumulation☆119Updated 5 years ago
- TensorFlow implementation of GradNorm☆41Updated 2 years ago
- Tensorflow version implementation of focal loss for binary and multi classification☆109Updated 6 years ago
- AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, D…☆15Updated 6 years ago
- The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.☆313Updated 7 years ago
- ☆62Updated 6 years ago
- Try to use tf.estimator and tf.data together to train a cnn model.☆77Updated 7 years ago
- 2018腾讯社交广告33名;☆22Updated 7 years ago
- Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow☆25Updated 6 years ago
- Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)☆52Updated 5 years ago
- papers we read about Recommendation Advertising & Search☆32Updated 5 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Updated 7 years ago
- Website for CBVRP Grand Challenge in ACM Multimedia 2019☆32Updated 5 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 5 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …☆29Updated 2 years ago
- MetaBalance algorithm for multi-task learning☆60Updated 3 years ago
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆99Updated 4 years ago
- Learn tensorflow tf.data API☆26Updated 7 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- RankNet算法介绍☆42Updated 6 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.☆20Updated 6 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测☆53Updated 7 years ago
- Efficient Neural Interaction Functions Search for Collaborative Filtering☆18Updated 5 years ago
- a simple pytorch implement of Multi-Sample Dropout☆57Updated 6 years ago