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dobinyim's Projects

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hdma-linguistic icon hdma-linguistic

Linguistic analysis and text data mining are important topics in the HDMA Center’s research. In this repository, we share linguistic algorithms and codes that you can use in your own research. We encourage you to add to our efforts! Please email us at [email protected]

hdma-socialmediaapi icon hdma-socialmediaapi

The HDMA Center at SDSU focuses on incorporating geo-targeted social media data and APIs with GIS analytics to access and query data. We welcome you to learn from this repository filled with technical documents, examples, and codes and encourage you to add to our efforts! Please email us at [email protected] if you like to contribute your codes, documents or skills into this Github.

helm icon helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

impacket icon impacket

Impacket is a collection of Python classes for working with network protocols.

introtopython icon introtopython

Files associated with our book Intro to Python for Computer Science and Data Science

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

language icon language

Shared repository for open-sourced projects from the Google AI Language team.

media-analysis-solution icon media-analysis-solution

The Media Analysis Solution is a serverless solution that leverages managed AWS services to automatically analyze your audio, video, and image files in order to extract valuable metadata

mt-dnn icon mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

owasp-mastg icon owasp-mastg

The Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes the technical processes for verifying the controls listed in the OWASP Mobile Application Security Verification Standard (MASVS).

pyreadstat icon pyreadstat

Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.

python-dlpy icon python-dlpy

The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.

python-swat icon python-swat

The SAS Scripting Wrapper for Analytics Transfer (SWAT) package is the Python client to SAS Cloud Analytic Services (CAS). It allows users to execute CAS actions and process the results all from Python.

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