Deezer source separation library including pretrained models.
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Updated
Jul 24, 2020 - Python
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Deezer source separation library including pretrained models.
Natural Language Processing Best Practices & Examples
Temperature scaled sampling for multi dataset
In multitask training involving multiple datasets, it is often desirable to be able to control the sampling ratios for different datasets. Currently mmf provides either equal or size proportional sampling. In order to have more control over the sampling we should add temperature scaled sampling.
Curr
Segmentation models with pretrained backbones. PyTorch.
Sandbox for training convolutional networks for computer vision
A curated list of pretrained sentence and word embedding models
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
Toolkit for Pre-trained Model Application of PaddlePaddle(『飞桨』预训练模型应用工具 )
中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"
Classification models trained on ImageNet. Keras.
Keras implementation of BERT with pre-trained weights
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding
Question
Hi, I have been experimenting with the QA capabilities of Haystack and so far. I was wondering if it was possible for the model to generate paragraph-like contexts.
Additional context
So far, when a question is asked, the model outputs an answer and the context the answer can be found in. The context output by the model is oftentimes fragments of a sentence or fragments of a
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Pytorch-Named-Entity-Recognition-with-BERT
A collection of computer vision pre-trained models.
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Fine-tune pretrained Convolutional Neural Networks with PyTorch
PyTorch and Tensorflow functional model definitions
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Data repository for pretrained NLP models and NLP corpora.
A deep neural network that learns to drive in video games
This repo contains implementation of different architectures for emotion recognition in conversations.
ImageNet pre-trained models with batch normalization for the Caffe framework
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Please can you train ghostnet.
(i don't have the imagenet dataset)