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Pavan Tripathi's Projects

datasets icon datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

detecting-custom-objects-in-an-image-video-using-yolo-v3 icon detecting-custom-objects-in-an-image-video-using-yolo-v3

YOLO is the state of the art and industry used algorithm for object detection these days. This does the classification/detection by creating grids in the whole image and achieves high accuracy at a very good speed and in real time. We use a pre-trained model which has been trained on the COCO dataset and performs object detection which a very high degree of accuracy.

dog-breed-classification-project-using-flask icon dog-breed-classification-project-using-flask

Dog Breed classifier project of the Data Scientist Nanodegree by Udacity. A Web Application is developed using Flask through which a user can check if an uploaded image is that of a dog or human. Also, if the uploaded image is that of a human, the algorithm tells the user what dog breed the human resembles the most. The Deep Learning model distinguishes between the 133 classes of dogs with an accuracy of over 82.89%.

fake-news-classification-using-lstm icon fake-news-classification-using-lstm

In the new age of technology, we go through every lot of news and in there is a possibility that the news could be fake. We trained a model which will help us to classify whether the news is genuine or fake. We trained the model using dataset available from Kaggle. This is a binary classification problem and we used LSTM to train the model. The model achieved good accuracy and can be worked upon to even improve it and use it in real-time.

ipl_score_prediction icon ipl_score_prediction

IPL has been a huge success in India and the best cricket league in the world. Why not build something which can help us use our skills of machine learning. So, we created a score prediction web app which can predict score of an IPL team by getting some details like runs scored in 5 overs, wickets down and give us a range of the score that the score of the team would be in this range. We used flask for web development and generated the main page.

nanodet icon nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

nse-stock-scanner icon nse-stock-scanner

National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more

optimallinkprediction icon optimallinkprediction

This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, and Aaron Clauset. (arXiv:1909.07578)

py icon py

Repository to store sample python programs for python learning

sketch_to_image icon sketch_to_image

How many of us loved watching the show “Shaka Laka Bom Bom”. The magic pencil with him. Whatever thing the boy drew turned into a real thing. We will do something like that but in a virtual mode. We trained the machine to identify the sketches of airplane, ant, apple, axe, banana, bed, bench, bicycle, book and bus. You draw a sketch like one of these objects and our program will return the prediction along with the real world photo of the same object.

stock-trend-estimation-using-lstm- icon stock-trend-estimation-using-lstm-

Stock trend prediction is a great application of machine learning and when done with good and appropriate dataset can help in unique ways. Here we deployed the application using Streamlit and can select any stock we want and get the dataset from yahoo in real time and use the LSTM model we trained and we get a list of results like the 100 day MA, 200 day MA, and future trend of the stock.

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