Bert KerasKeras implementation of BERT with pre-trained weights
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Filipino-Text-BenchmarksOpen-source benchmark datasets and pretrained transformer models in the Filipino language.
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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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Seq2seqchatbotsA wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
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MinTLMinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
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Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
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SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
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Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
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image-classificationA collection of SOTA Image Classification Models in PyTorch
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Transformer-in-TransformerAn Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
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ACVR2017An Innovative Salient Object Detection Using Center-Dark Channel Prior
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MaskedFaceRepresentationMasked face recognition focuses on identifying people using their facial features while they are wearing masks. We introduce benchmarks on face verification based on masked face images for the development of COVID-safe protocols in airports.
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TVQAplus[ACL 2020] PyTorch code for TVQA+: Spatio-Temporal Grounding for Video Question Answering
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linformerImplementation of Linformer for Pytorch
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SwinIRSwinIR: Image Restoration Using Swin Transformer (official repository)
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squad-v1.1-ptPortuguese translation of the SQuAD dataset
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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pump-and-dump-datasetAdditional material for paper: Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations, ICCCN '20
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PAMLPersonalizing Dialogue Agents via Meta-Learning
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Meta-Fine-Tuning[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
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HARRecognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
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HJDatasetA Large Dataset of Historical Japanese Documents with Complex Layouts
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recurrent-defocus-deblurring-synth-dual-pixelReference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…
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covid19-data-greeceDatasets and analysis of Novel Coronavirus (COVID-19) outbreak in Greece
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mxmortalitydbA data only R package containing all injury intent deaths registered in Mexico from 2004 to 2019
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climateRAn R 📦 for getting point and gridded climate data by AOI
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uformer-pytorchImplementation of Uformer, Attention-based Unet, in Pytorch
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pymarl2Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
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bert-as-a-service TFXEnd-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
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galerkin-transformer[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax
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Audio-Classification-using-CNN-MLPMulti class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
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OTT-QACode and Data for ICLR2021 Paper "Open Question Answering over Tables and Text"
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charformer-pytorchImplementation of the GBST block from the Charformer paper, in Pytorch
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attention-is-all-you-need-paperImplementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
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svgs2fontsnpm-svgs2fonts。svg图标转字体图标库(svgs -> svg,ttf,eot,woff,woff2),nodejs。
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trapperState-of-the-art NLP through transformer models in a modular design and consistent APIs.
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saintThe official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
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revolverREVOLVER - Repeated Evolution in Cancer
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ObjectNetPyTorch implementation of "Pyramid Scene Parsing Network".
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BIRLBIRL: Benchmark on Image Registration methods with Landmark validations
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Grapy-ML(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
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pynmta simple and complete pytorch implementation of neural machine translation system
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snorkelingExtracting biomedical relationships from literature with Snorkel 🏊
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semantic-document-relationsImplementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"
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Swin-Transformer-TensorflowUnofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
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user qualityDataset for Software Evolution and Quality Improvement
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SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
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tradaboostTransfer learning algorithm TrAdaboost,coded by python
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