machine-learningProgramming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
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strollr2d icassp2017Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017
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amrOfficial adversarial mixup resynthesis repository
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wikiHow paper listA paper list of research conducted based on wikiHow
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text2textText2Text: Cross-lingual natural language processing and generation toolkit
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VAENAR-TTSPyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
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SimCLRPytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
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DETRegOfficial implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
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USOT[ICCV2021] Learning to Track Objects from Unlabeled Videos
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Video-Summarization-PytorchIMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)
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deep-INFOMAXChainer implementation of deep-INFOMAX
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M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
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NTFk.jlUnsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering
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CLSAofficial implemntation for "Contrastive Learning with Stronger Augmentations"
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nlp-notebooksA collection of natural language processing notebooks.
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rtgReader Translator Generator - NMT toolkit based on pytorch
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NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
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mtdataA tool that locates, downloads, and extracts machine translation corpora
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TextFeatureSelectionPython library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
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dramaMain component extraction for outlier detection
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CCDCode for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]
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SimCLR-in-TensorFlow-2(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
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unsup temp embedUnsupervised learning of action classes with continuous temporal embedding (CVPR'19)
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salt iccv2017SALT (iccv2017) based Video Denoising Codes, Matlab implementation
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treecutFind nodes in hierarchical clustering that are statistically significant
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DeepChannelThe pytorch implementation of paper "DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization"
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rl singing voiceUnsupervised Representation Learning for Singing Voice Separation
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FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
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DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
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mirror-bert[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.
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metric-transfer.pytorchDeep Metric Transfer for Label Propagation with Limited Annotated Data
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turingadviceEvaluating Machines by their Real-World Language Use
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pytodTOD: GPU-accelerated Outlier Detection via Tensor Operations
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pen.elPen.el stands for Prompt Engineering in emacs. It facilitates the creation, discovery and usage of prompts to language models. Pen supports OpenAI, EleutherAI, Aleph-Alpha, HuggingFace and others. It's the engine for the LookingGlass imaginary web browser.
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Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
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NRCNatural language generation for discrete data in EHRs
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recipe-personalizationEMNLP 2019: Generating Personalized Recipes from Historical User Preferences
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PCLNetUnsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.
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hmm market behaviorUnsupervised Learning to Market Behavior Forecasting Example
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BaySMMModel for learning document embeddings along with their uncertainties
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deepvismachine learning algorithms in Swift
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temporal-sslVideo Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
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SkeletonMergerCode repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.
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Eigen-PortfolioUnsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.
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transformer-drg-style-transferThis repository have scripts and Jupyter-notebooks to perform all the different steps involved in Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
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unsupervised-qaTemplate-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
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kmeansA simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
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ml-aiML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
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springSPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
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T-CorExImplementation of linear CorEx and temporal CorEx.
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