• Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created about 2 years ago
  • Updated about 2 years ago

Reviews

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

Repository Details

Explaining the contents of an image in the form of speech through caption generation using Inception-V3 model , LSTM model ,Goggle Text-To-Speech API and playsound library .

More Repositories

1

lipsyncr

LipSyncr is a lip reading web app based on the LipNet model that can lip read videos.
Jupyter Notebook
28
star
2

code-summarizer-dell

Explaining code (python) in natural language text using Microsoft CodeBert , TreeHugger, Hugging Face models.
Jupyter Notebook
4
star
3

Fake-News-Classifier

A Fake News Classifier using different ML models with TF-IDF & Bag-of-Words encodings of text and also LSTM, Bi-directional LSTM models with Word2Vec text embedding.
Jupyter Notebook
1
star
4

Image-InPainting-SAM

A combination of Image segmentation, Image editing and in-place Image generation using Meta's Segment Anything model , StabilityAI's Stable Diffusion-2 model and GPT-4.
Jupyter Notebook
1
star
5

Face-Detector

Face detection & Face Mesh using OpenCV and Mediapipe.
Python
1
star
6

GameOfThrones-Word2Vec

Implementing a Word2Vec model on the Game of Thrones book text.
Jupyter Notebook
1
star
7

BLANCO

A simple personalized bot - Blanco using python.
Python
1
star
8

fifa22

EDA, Prediction and Feature Analysis of the FIFA 22 male players dataset. Fun experiment combining the 3 things I love: Football, Analytics, XGBoost. In that order :)
Jupyter Notebook
1
star
9

Breast-Cancer-Prediction

Breast Cancer Prediction through ultrasound images and classifying them normal, benign and malignant using CNN and transfer learning- EfficientNetB5.
Jupyter Notebook
1
star
10

federated-learning-flower

federated learning with flower - basics implementation tutorial notebooks.
Jupyter Notebook
1
star
11

MoveNet-Pose-Detector

Pose Estimator using the fastest rendering MoveNet-Lightning framework with Tensorflow Lite.
Jupyter Notebook
1
star