Loading repository data…
rsreetech / repository
In this repository you will find a jupyter notebook for implementing a Neural Network based text classification using TensorFlow 2.1. I am specifically training a simple neural network based text classification model to classify sentiment of tweets . I will be using the tensorflow gpu version.
In this repository you will find a jupyter notebook for implementing a Neural Network based text classification using TensorFlow 2.1.
I am specifically training a simple neural network based text classification model to classify sentiment of tweets .
I will be using the tensorflow gpu version.
The dataset is from the Tweet Sentiment Extraction challenge from Kaggle(https://www.kaggle.com/c/tweet-sentiment-extraction/overview)
We would implement text classification using a simple neural network developed using Tensorflow on tweet data to classify tweets as "positive","negative" or "neutral"
Pre-requisites
Python 3.5 or above
Jupyter
scikit-learn (https://github.com/scikit-learn/scikit-learn)
Pandas (https://pandas.pydata.org/)
Tensorflow GPU 2.1
Pydot
Selected from shared topics, language and repository description—not editorial ratings.
milaan9 /
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
laxmimerit /
This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.
datainsightat /
Explore the world of Large Language Models (LLMs) with this introductory repository. Learn about LLM architectures, pre-training, fine-tuning techniques, popular models, and their applications. Delve into their limitations and ethical considerations using hands-on Jupyter notebooks.
profConradi /
In the last few years, I have developed a lot of Jupyter notebooks to draw fractals. In this repository, I will gradually share them. Creative Commons Attribution-ShareAlike 4.0 International License.
ChaitanyaK77 /
This Repository provides a Jupyter Notebook for building a small language model from scratch using 'TinyStories' dataset. Covers data preprocessing, BPE tokenization, binary storage, GPU memory management, and training a Transformer in PyTorch. Generate sample stories to test your model. Ideal for learning NLP and PyTorch.
malyginvladimir /
This repository stores several Jupyter Notebooks that were developed while studying for the Certificate in Quantitative Finance.