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Carnegie Institution for Science
- Washington, DC
- www.anirudhprabhu.com
- https://orcid.org/0000-0002-9921-6084
- @anirudh_14
Stars
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
DEPRECATED. Please refer to https://github.com/CaymanUnterborn/ExoPlex for the updated project. A self-consistent mineral physics solver for exoplanets.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
An implementation of ROUGE family metrics for automatic summarization.
A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
In this project we develop new deep learning models for bootstrapping language understanding models for languages with no labeled data using labeled data from other languages.
A guide to document clustering in Python
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Tensorflow Implementation of Adversarial Attack to Capsule Networks
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
CapsLayer: An advanced library for capsule theory
Code and hyperparameters for the paper "Generative Adversarial Networks"
XAI - An eXplainability toolbox for machine learning
mathsyouth / awesome-text-summarization
Forked from lipiji/App-DLA curated list of resources dedicated to text summarization
Text summarization using seq2seq in Keras
Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews
I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
Some simple examples for new Prolog programmers
Curated list of Prolog packages and resources
Stanford Open Information Extraction made simple!
A guide to some of the most useful R Packages that we know about