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VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
convolutional-neural-networks transformers coco visual-representations
Finetuning Transformers with JAX + Haiku
Walking through a port of the RoBERTa pre-trained model to JAX + Haiku, then fine-tuning the model to solve a downstream task.
jax haiku roberta transformers
Practical Tips and Tricks for Successful Transfer Learning
Training models to learn knowledge and skills from other related tasks that will transfer and boost performance on tasks of interest.
transfer-learning pretraining natural-language-processing tutorial
MT-Clinical BERT
Scaling Clinical Information Extraction with Multitask Learning
health multi-task-learning information-extraction clinical-information-extraction
Finetune: Scikit-learn Style Model Finetuning for NLP
Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide variety of downstream tasks.
natural-language-processing finetuning pretraining transformers
PyTorch Hub
Discover and publish models to a pre-trained model repository designed for research exploration.
pretraining fine-tuning models pytorch
The PyTorch-based audio source separation toolkit for researchers || Pretrained models available.
speech-separation pytorch pretraining speech
OpenMMLab Computer Vision
MMCV is a python library for CV research and supports many research projects such as object detection, segmentation, pose estimation, action ...
computer-vision object-detection 3d 3d-object-detection
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