Pytorch Transformers ClassificationBased on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
Stars: ✭ 229 (+74.81%)
Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Stars: ✭ 1,132 (+764.12%)
Text ClassificationText Classification through CNN, RNN & HAN using Keras
Stars: ✭ 216 (+64.89%)
Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (-82.44%)
Interpret TextA library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Stars: ✭ 220 (+67.94%)
TiaYour Advanced Twitter stalking tool
Stars: ✭ 98 (-25.19%)
Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Stars: ✭ 790 (+503.05%)
Nlp TutorialA list of NLP(Natural Language Processing) tutorials
Stars: ✭ 1,188 (+806.87%)
Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Stars: ✭ 239 (+82.44%)
Text ClassificationAn example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
Stars: ✭ 100 (-23.66%)
Predictive Filter FlowPredictive Filter Flow for fully/self-supervised learning on various vision tasks
Stars: ✭ 128 (-2.29%)
WaterfallAn easy to use waterfall chart function for Python
Stars: ✭ 130 (-0.76%)
Nb2xlsConvert Jupyter notebook to Excel spreadsheet
Stars: ✭ 129 (-1.53%)
CausalimpactPython port of CausalImpact R library
Stars: ✭ 130 (-0.76%)
Slides Scipyconf 2018A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
Stars: ✭ 130 (-0.76%)
Pytorch EnsemblesPitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
Stars: ✭ 128 (-2.29%)
Python WorkshopA series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
Stars: ✭ 127 (-3.05%)
InferpyInferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Stars: ✭ 130 (-0.76%)
Gocnnusing CNN to do move prediction and board evaluation for the board game Go
Stars: ✭ 130 (-0.76%)
EewpythonA series of Jupyter notebook to learn Google Earth Engine with Python
Stars: ✭ 129 (-1.53%)
Download Celeba HqPython script to download the celebA-HQ dataset from google drive
Stars: ✭ 130 (-0.76%)
ContactposeLarge dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
Stars: ✭ 129 (-1.53%)
2013 fall astr599Content for my Astronomy 599 Course: Intro to scientific computing in Python
Stars: ✭ 128 (-2.29%)
Cmapsuser defined colormaps in matplotlib.
Stars: ✭ 126 (-3.82%)
CitylearnOfficial reinforcement learning environment for demand response and load shaping
Stars: ✭ 129 (-1.53%)
PyviPython Vietnamese Core NLP Toolkit
Stars: ✭ 128 (-2.29%)
GumbelGumbel-Softmax Variational Autoencoder with Keras
Stars: ✭ 127 (-3.05%)
Sound localization algorithmsClassical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
Stars: ✭ 131 (+0%)
Mml CompanionThis is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.
Stars: ✭ 130 (-0.76%)
Griffon VmGriffon Data Science Virtual Machine
Stars: ✭ 128 (-2.29%)
Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Stars: ✭ 128 (-2.29%)
MltutorialMachine Learning Tutorial in IPython Notebooks
Stars: ✭ 129 (-1.53%)
RsisRecurrent Neural Networks for Semantic Instance Segmentation
Stars: ✭ 128 (-2.29%)
Deep LearningThis repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.
Stars: ✭ 130 (-0.76%)
Ccm SiteNYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
Stars: ✭ 127 (-3.05%)
SlicerjupyterExtension for 3D Slicer that allows the application to be used from Jupyter notebook
Stars: ✭ 127 (-3.05%)
Siamese netThis package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.
Stars: ✭ 129 (-1.53%)
Ipyexperimentsjupyter/ipython experiment containers for GPU and general RAM re-use
Stars: ✭ 128 (-2.29%)