Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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pghumorIs This a Joke? Humor Detection in Spanish Tweets
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Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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game2vecTensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
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Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
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Water-classifier-fastaiDeploy your Flask web app classifier on Heroku which is written using fastai library.
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ulm-basenetImplementation of ULMFit algorithm for text classification via transfer learning
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kuzushiji-recognitionKuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
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HubA library for transfer learning by reusing parts of TensorFlow models.
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SytoraA sophisticated smart symptom search engine
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LaserembeddingsLASER multilingual sentence embeddings as a pip package
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icedataIceData: Datasets Hub for the *IceVision* Framework
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steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
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rawrExtract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.
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classySuper simple text classifier using Naive Bayes. Plug-and-play, no dependencies
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UPITA fastai/PyTorch package for unpaired image-to-image translation.
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DFL-ColabDeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab
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TransTQAAuthor: Wenhao Yu (
[email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.
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CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
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codesnippetsearchNeural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.
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clip playgroundAn ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities
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info-retrievalInformation Retrieval in High Dimensional Data (class deliverables)
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Emotion and Polarity SOAn emotion classifier of text containing technical content from the SE domain
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torchmfmatrix factorization in PyTorch
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linbaserThe program on a given grid from a file builds an approximation of the function by a piecewise linear basis. Made mostly in Russian, because of university subject.
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task-transferabilityData and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
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Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
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tbcnnEfficient tree-based convolutional neural networks in TensorFlow
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dparNeural network transition-based dependency parser (in Rust)
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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navecCompact high quality word embeddings for Russian language
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deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
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chattoChatto is a minimal chatbot framework in Go.
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colabsThis repository holds the Google Colabs for the EdX TinyML Specialization
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AB distillationKnowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
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WSDM2022-PTUPCDRThis is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
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paper annotationsA place to keep track of all the annotated papers.
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PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
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data-science-learning📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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NN-scratchCoding up a Neural Network Classifier from Scratch
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