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| .. | ||
| assemblenet | ||
| backbone_reuse | ||
| basnet | ||
| bigbird | ||
| centernet | ||
| const_cl | ||
| cots_detector | ||
| deepmac_maskrcnn | ||
| detr | ||
| edgetpu | ||
| fffner | ||
| labse | ||
| longformer | ||
| lra | ||
| mae | ||
| maskconver | ||
| maxvit | ||
| mobilebert | ||
| mosaic | ||
| movinet | ||
| mtop | ||
| nhnet | ||
| panoptic | ||
| perceiver | ||
| pix2seq | ||
| pixel | ||
| pointpillars | ||
| pruning | ||
| qat | ||
| roformer | ||
| s3d | ||
| simclr | ||
| teams | ||
| text_classification_example | ||
| tn_bert | ||
| token_dropping | ||
| triviaqa | ||
| unified_detector | ||
| video_ssl | ||
| videoglue | ||
| volumetric_models | ||
| waste_identification_ml | ||
| yolo | ||
| yt8m | ||
| README.md | ||
| __init__.py | ||
README.md
TensorFlow Model Garden Modeling Projects
This directory contains projects using Modeling libraries of TensorFlow Model Garden. More details about each project can be found in the individual project folders listed below.
⚠️ Disclaimer: Checkpoints included in the project folders listed below are based on training with publicly available datasets. Some datasets contain limitations, including non-commercial use limitations. Please review the terms and conditions made available by third parties before using the datasets provided. Checkpoints are licensed under Apache 2.0.
⚠️ Disclaimer: Datasets hyperlinked from the project folders listed below are not owned or distributed by Google. Such datasets are made available by third parties. Please review the terms and conditions made available by the third parties before using the data.
Projects
- AssembleNet
- BASNet
- BigBird
- DeepMAC Mask-RCNN
- DETR
- Edge-TPU for Vision and NLP
- Language-agnostic BERT Sentence Embedding
- Long-Document Transformer
- MobileBERT
- MoViNets
- News Headline Generation Model: NHNet
- Training with Pruning
- QAT for Computer Vision
- Roformer Project
- Training ELECTRA Augmented with Multi-word Selection
- NLP example project
- TensorNetwork BERT
- Token Dropping for Efficient BERT Pretraining
- Spatiotemporal Contrastive Video Representation Learning
- Vision Transformer (ViT)
- Data-Efficient Image Transformer (DEIT)
- Volumetric Models
- YouTube-8M Tensorflow Starter Code