Experiments with different ML techniques using TensorFlow and Sci-kit-learn in Python
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Updated
Mar 24, 2017 - Jupyter Notebook
Experiments with different ML techniques using TensorFlow and Sci-kit-learn in Python
NLP related concepts, challenges and datasets
A repository contains Text Classification notebooks using Machine Learning, Deep Learning, Word Embeddings
This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.
Small and easily modifiable notebook to extract embeddings from pre trained resnet50
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow
JavaScript embedder for Wolfram Cloud notebooks
Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)
This Repo collects Notebooks for NLP
In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.
A notebook that contains a collection of NLP models that automatically score essays
Vector similarity can be used to find similar products, articles and much more. In this tutorial, we will show you how to use Redis to index and search for similar vectors
In this notebook, I trained a model which uses embedding technique to categorize BBC news.
Jupyeter Notebooks that demo Generative AI concepts
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