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Deezer source separation library including pretrained models.
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Updated
Aug 29, 2020 - Python
#
pretrained-models
Here are 209 public repositories matching this topic...
Natural Language Processing Best Practices & Examples
nlp
machine-learning
natural-language-processing
deep-learning
text-classification
text
best-practices
natural-language
nlu
pretrained-models
natural-language-inference
natural-language-understanding
sota
transfomer
nli
azure-ml
mlflow
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Aug 25, 2020 - Python
vedanuj
commented
Aug 10, 2020
🚀 Feature
Temperature scaled sampling for multi dataset
Motivation
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.
Pitch
Curr
Segmentation models with pretrained backbones. PyTorch.
models
image-processing
pytorch
neural-networks
imagenet
segmentation
pretrained-models
image-segmentation
unet
semantic-segmentation
pspnet
fpn
unet-pytorch
linknet
segmentation-models
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Jul 17, 2020 - Python
Sandbox for training convolutional networks for computer vision
machine-learning
deep-learning
neural-network
mxnet
chainer
tensorflow
keras
pytorch
classification
imagenet
image-classification
segmentation
human-pose-estimation
pretrained-models
gluon
cifar
semantic-segmentation
3d-face-reconstruction
tensorflow2
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Jul 23, 2020 - Python
A curated list of pretrained sentence and word embedding models
nlp
awesome
encoder
paper
natural-language
word-embeddings
evaluation
awesome-list
pretrained-models
unsupervised-learning
embedding-models
language-model
bert
embedded-models
cross-lingual
wordembedding
encoders
sentence-embeddings
pretrained-embedding
sentence-representations
contextualized-representation
vector-map
pooling-methods
pretrained-language-model
subword-models
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Aug 4, 2020 - Python
Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）
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Sep 2, 2020 - Python
Implementation of EfficientNet model. Keras and TensorFlow Keras.
deep-learning
efficient
classification
imagenet
image-classification
pretrained-models
mobilenet
nasnetmobile
efficientnet
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Aug 24, 2020 - Python
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
pytorch
face-recognition
face-detection
resnet
pretrained-models
inception-resnet
face-tracking
mtcnn
face-identification
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Aug 25, 2020 - Python
中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
benchmark
tensorflow
nlu
glue
corpus
transformers
pytorch
dataset
chinese
pretrained-models
language-model
albert
bert
roberta
chineseglue
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Jul 15, 2020 - Python
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
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Aug 31, 2020 - Python
nlp
deep-learning
pytorch
question-answering
transfer-learning
pretrained-models
language-models
ner
nlp-library
bert
nlp-framework
roberta
xlnet-pytorch
germanbert
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Updated
Sep 2, 2020 - Python
Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"
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Apr 28, 2020 - Python
Classification models trained on ImageNet. Keras.
keras
vgg
imagenet
densenet
resnet
pretrained-models
inceptionv3
resnext
pretrained-weights
imagenet-classifier
mobilenet
classification-model
senet
xception
nasnet
inception-resnet-v2
squeeze-and-excitation
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Updated
Apr 7, 2020 - Python
Keras implementation of BERT with pre-trained weights
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Jul 26, 2019 - Python
kandloic
commented
Aug 14, 2020
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
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May 29, 2020 - Python
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding
tutorial
detection
extraction
citation
pytorch
pretrained-models
speaker-recognition
speaker-verification
speech-processing
speaker-diarization
voice-activity-detection
speech-activity-detection
speaker-change-detection
speaker-embedding
pyannote-audio
overlapped-speech-detection
speaker-diarization-pipeline
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Aug 31, 2020 - Python
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
deep-learning
tensorflow
cnn
generative-adversarial-network
pretrained-models
super-resolution
vgg19
srgan
tf-slim
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Updated
Jun 29, 2020 - Python
Pytorch-Named-Entity-Recognition-with-BERT
curl
inference
pytorch
cpp11
named-entity-recognition
postman
pretrained-models
bert
conll-2003
bert-ner
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Updated
Jan 24, 2020 - Python
A collection of computer vision pre-trained models.
data-science
image
computer-vision
deep-learning
neural-network
mxnet
tensorflow
model
models
keras
python3
pytorch
model-selection
image-classification
awesome-list
object-detection
pretrained-models
pretrained
video-analysis
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Updated
Aug 7, 2020
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
detection
tricks
cnn
sge
pytorch
classification
convolutional-networks
pretrained-models
bam
senet
state-of-the-art
gcnet
shufflenetv2
cbam
weight-decay
sknet
cnn-tricks
training-shufflenetv2
attention-models
weight-normalization-family
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Nov 6, 2019 - Python
Fine-tune pretrained Convolutional Neural Networks with PyTorch
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Updated
Jan 16, 2020 - Python
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
deep-learning
neural-network
tensorflow
pytorch
medical-imaging
classification
pretrained-models
breast-cancer
medical-image-analysis
breast-cancer-diagnosis
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Updated
Aug 27, 2020 - Jupyter Notebook
PyTorch and Tensorflow functional model definitions
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Updated
Feb 1, 2018 - Jupyter Notebook
Data repository for pretrained NLP models and NLP corpora.
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Updated
Mar 16, 2018 - Python
A deep neural network that learns to drive in video games
python
video-games
machine-learning
deep-learning
neural-network
pytorch
supervised-learning
self-driving-car
videogame
pretrained-models
autonomous-driving
deep-neural-network
videogame-bot
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Updated
May 15, 2020 - Python
This repo contains implementation of different architectures for emotion recognition in conversations.
natural-language-processing
sentiment-analysis
pytorch
lstm
memory-network
pretrained-models
emotion-analysis
dialogue-systems
conversational-agents
emotion-recognition
natural-language-understanding
conversational-ai
emotion-recognition-in-conversation
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Updated
Aug 7, 2020 - Python
ImageNet pre-trained models with batch normalization for the Caffe framework
caffe
vgg
batch-normalization
imagenet
resnet
alexnet
vggnet
pretrained-models
vgg16
fine-tune
vgg19
cnn-model
caffe-framework
pre-trained
fine-tuning-cnns
resnet-10
resnet-50
resnet-preact
ilsvrc
very-deep-cnn
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Updated
Nov 26, 2017 - Python
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Please can you train ghostnet.
(i don't have the imagenet dataset)