Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
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Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
Koç University deep learning framework.
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Code for the Lovász-Softmax loss (CVPR 2018)
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
A data visualization curriculum of interactive notebooks.
A list of NLP(Natural Language Processing) tutorials
Measures the latency between CPU cores
Supporting code for short YouTube series Neural Networks Demystified.
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)