Data ScienceCollection of useful data science topics along with code and articles
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PbaEfficient Learning of Augmentation Policy Schedules
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HeadlinesAutomatically generate headlines to short articles
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AdjusttextA small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
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Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
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Lstm peptidesLong short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
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Gaze EstimationA deep learning based gaze estimation framework implemented with PyTorch
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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TensorslowRe-implementation of TensorFlow in pure python, with an emphasis on code understandability
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
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Awesome Ai Ml DlAwesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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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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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
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SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
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Rnn Theano使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等
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Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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Gym ContinuousdoubleauctionA custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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Ner blstm CrfLSTM-CRF for NER with ConLL-2002 dataset
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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Language ModellingGenerating Text using Deep Learning in Python - LSTM, RNN, Keras
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
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NotebooksSome notebooks
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AiopenAIOpen是一个按人工智能三要素(数据、算法、算力)进行AI开源项目分类的汇集项目,项目致力于跟踪目前人工智能(AI)的深度学习(DL)开源项目,并尽可能地罗列目前的开源项目,同时加入了一些曾经研究过的代码。通过这些开源项目,使初次接触AI的人们对人工智能(深度学习)有更清晰和更全面的了解。
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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FinalfrontierContext-sensitive word embeddings with subwords. In Rust.
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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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Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
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AialphaUse unsupervised and supervised learning to predict stocks
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DutchembeddingsRepository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.
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Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
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Char rnn lm zhlanguage model in Chinese,基于Pytorch官方文档实现
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Hred Attention TensorflowAn extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.
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Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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Stock RnnPredict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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