Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
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Contextualized Topic ModelsA python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.
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vietnamese-robertaA Robustly Optimized BERT Pretraining Approach for Vietnamese
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NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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bert in a flaskA dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.
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watset-javaAn implementation of the Watset clustering algorithm in Java.
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AdaSpeechAdaSpeech: Adaptive Text to Speech for Custom Voice
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Keras Textclassification中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
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Walk-TransformerFrom Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
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VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
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TitleStylistSource code for our "TitleStylist" paper at ACL 2020
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Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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towheeTowhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
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VT-UNet[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
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ActiveSparseShifts-PyTorchImplementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)
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Entity EmbeddingReference implementation of the paper "Word Embeddings for Entity-annotated Texts"
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ensparaModeling molecular ensembles with scalable data structures and parallel computing
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audio noise clusteringhttps://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.
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svelte-jestJest Svelte component transformer
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Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
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Neural-Scam-ArtistWeb Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
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catrImage Captioning Using Transformer
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Transformer-MM-Explainability[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
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hierarchical-clusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
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ML-TrackThis repository is a recommended track, designed to get started with Machine Learning.
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text simplificationText Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.
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PersianNERNamed-Entity Recognition in Persian Language
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Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
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Machine LearningA repository of resources for understanding the concepts of machine learning/deep learning.
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CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
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VideoTransformer-pytorchPyTorch implementation of a collections of scalable Video Transformer Benchmarks.
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transformer-lsOfficial PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).
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pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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SubGNNSubgraph Neural Networks (NeurIPS 2020)
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kospeechOpen-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
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triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
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alpr utilsALPR model in unconstrained scenarios for Chinese license plates
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pipeCompA R framework for pipeline benchmarking, with application to single-cell RNAseq
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mathematics-statistics-for-data-scienceMathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
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transformerA simple TensorFlow implementation of the Transformer
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deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
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image embeddingsUsing efficientnet to provide embeddings for retrieval
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DocuNetCode and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
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YaEtlYet Another ETL in PHP
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event-embedding-multitask*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
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eris-fleetCluster management for Discord bots using the Eris library.
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DP meansDirichlet Process K-means
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Transformer Temporal TaggerCode and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
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cosine-ood-detectorHyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
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scikit-cmeansFlexible, extensible fuzzy c-means clustering in python.
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