iarai / NeurIPS2020-traffic4cast
Code accompanying our NeurIPS 2020 traffic4cast challenge
☆13Updated 3 years ago
Alternatives and similar repositories for NeurIPS2020-traffic4cast:
Users that are interested in NeurIPS2020-traffic4cast are comparing it to the libraries listed below
- Implementation of FixMatch in PyTorch and experimentations☆11Updated 4 years ago
- FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces - Code used for our manuscript presented at Winter Conference o…☆33Updated last year
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆11Updated 6 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 2 years ago
- Official code for our SIBGRAPI 2020 paper: "IDA: Improved Data Augmentation Applied to Salient Object Detection"☆14Updated 3 years ago
- Automatic Query Image Disambiguation (AID)☆11Updated 7 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 4 years ago
- PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf☆13Updated 5 years ago
- Detectron with VoVNet(CVPRW'19) backbone networks☆17Updated 5 years ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- ☆25Updated 4 years ago
- Implementation of Kronecker Attention in Pytorch☆18Updated 4 years ago
- The project is about predicting sets (of classes) from images.☆22Updated 3 years ago
- ☆54Updated 3 years ago
- Parameter-Space Saliency Maps for Explainability☆23Updated last year
- Simple Code Implementation of "Xception" architecture using PyTorch.☆15Updated 4 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Updated 4 years ago
- PyTorch ObjectDetection Modules and ONNX ops☆18Updated last year
- Implementation of UNet as used in SceneNet RGB-D paper☆21Updated 5 years ago
- Evaluation framework for testing segmentation networks in Keras☆36Updated 5 years ago
- Quick attempt at a panoptic segmentation model☆19Updated 6 years ago
- Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)☆14Updated 4 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 4 years ago
- Semantic Segmentation on the LaPa dataset using Pytorch Lightning☆14Updated 3 years ago
- Data augmentation utility for machine learning on 3D point clouds☆22Updated 7 years ago
- Image augmentation library☆14Updated 4 years ago