Deezer source separation library including pretrained models.

Natural Language Processing Best Practices & Examples

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry.

Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"

Keras implementation of BERT with pre-trained weights

Classification models trained on ImageNet. Keras.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

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

🔍 Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

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