faizan1234567/sentiment-analysis-and-text-generation faizan1234567/sentiment-analysis-and-text-generation

Twitter logo Share LinkedIn logo Share Facebook logo Share
faizan1234567/sentiment-analysis-and-text-generation
github

faizan1234567

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This repository contains implementation to sentiment analysis and text generation on sarcasm dataset and generating poetry like text.

More Repositories

1

BraTS23-Tumors-Segmentation

Brain tumors segmentation on 3D MRI images. The model has been trained on BratTS20 and BraTS21 datasets, and now working with BraTS23.
Python
25
star
2

8-Puzzle-A-Star-Search

This repository contains C++ implementation of A* search algorithm for finding path to goal state for 8 puzzle problem in AI.
C++
10
star
3

Assignments

Course assignments
Jupyter Notebook
4
star
4

Convolutional-Neural-networks-in-TensorFlow

Convolution Neural Networks implementation in TensorFlow
Jupyter Notebook
4
star
5

Machine-Learning

Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch
MATLAB
3
star
6

sentence-classification

Implementation of classification of grammatically correct sentences and wrong sentences, and integration of MLOps tools.
Jupyter Notebook
3
star
7

medium-blog-posts-code

medium blog posts code
Jupyter Notebook
2
star
8

Hand-writing-recognition

Handwriting recognition using deep learning.
Jupyter Notebook
2
star
9

Recognition-and-gradient-based-localization-of-chest-radiographs

Disease diagnoses in chest radiographs with different neural network architectures, and models activations localization using grad-cam. The whole implementation is in Pytorch.
Jupyter Notebook
2
star
10

HGNN2

implementation of hypergraph on citation dataset
Python
1
star
11

Image-Classification

Image classification on custom dataset
Python
1
star
12

YOLOv7-Reparameterization

This repository contains scripts to reparamterize the YOLOv7 model and it's variants. This can help in deployment and further usage.
Python
1
star