Pinned Repositories
Audio-Classification-
This project classifies audio , using Deep Learning modelDeployed Model using Flask API Uses URBANSOUND8K Dataset
Auto-Coloring-of-Black-and-White-images
The model consists of 2 parts, the encoder and decoder. I employed the notion of transfer learning for the encoder section of the model and used the pretrained VGG19 model as the encoder. I experimented with the 'rmsprop' and 'adam' optimizers. Adam's convergence was better than rmsprop's. The model is deployed using the Streamlit API.
Data_collection_using_api_IMDB
Digit_recognizer_Kaggle
Competition Description MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare.
FacialEmotionRecognition
Gender-Recognition-by-Voice
ImageCaptionGenerator
Image Caption Generation Using Deep Learning
Knowledge_bot
Using the power of Graph Database to chat with your structure/unstructured data and visualize it.
Natural_Language_Processing-
akshpreetsingh988's Repositories
akshpreetsingh988/Data_collection_using_api_IMDB
akshpreetsingh988/Digit_recognizer_Kaggle
Competition Description MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare.
akshpreetsingh988/FacialEmotionRecognition
akshpreetsingh988/Gender-Recognition-by-Voice
akshpreetsingh988/ImageCaptionGenerator
Image Caption Generation Using Deep Learning
akshpreetsingh988/Natural_Language_Processing-
akshpreetsingh988/Audio-Classification-
This project classifies audio , using Deep Learning modelDeployed Model using Flask API Uses URBANSOUND8K Dataset
akshpreetsingh988/Auto-Coloring-of-Black-and-White-images
The model consists of 2 parts, the encoder and decoder. I employed the notion of transfer learning for the encoder section of the model and used the pretrained VGG19 model as the encoder. I experimented with the 'rmsprop' and 'adam' optimizers. Adam's convergence was better than rmsprop's. The model is deployed using the Streamlit API.
akshpreetsingh988/blango
akshpreetsingh988/CodeChef
akshpreetsingh988/Computer_Graphics_openGL
akshpreetsingh988/Deep-Learning
akshpreetsingh988/Developer_detective.github.io
akshpreetsingh988/DICE_game-
akshpreetsingh988/Dictionary_App
akshpreetsingh988/Digit_recognizer_kaggleChallange
akshpreetsingh988/Drum_Kit
DrumKit project made with html, css, javascript
akshpreetsingh988/DSAsheet
All important DSA questions i solved
akshpreetsingh988/House-Prices-Advanced-Regression-Techniques_kaggleCompetiton
Predict sales prices and practice feature engineering, RFs, and gradient boosting
akshpreetsingh988/Image-Grabber
A button appears over every image on the web page and you can get the source target of the image from there.
akshpreetsingh988/InterviewBit
Collection of solution for problems on InterviewBit
akshpreetsingh988/JPMC_virtual_internship_tasks-
Contains the task 2 , 3 for JPMC
akshpreetsingh988/KfoldCrossValidation_AccelaratedComputingCUDA
ML assignments
akshpreetsingh988/Movie-Recommendation-
https://github.com/campusx-official/movie-recommender-system-tmdb-dataset
akshpreetsingh988/PrincipalComponentAnalysis
akshpreetsingh988/Text-Summerization-
Text Summaization is done using many to many sequence models . Data set Used in Amazon Fine Food Reviews I developed a Text Summarization model generating summary, from the provided reviews using LSTM model and Attention Mechanism . Deployed using Flask API
akshpreetsingh988/Tic-Tac-Toe.github.io
A simple tic tac toe application made using HTML , CSS , JS .
akshpreetsingh988/ticTacToe.github.io
akshpreetsingh988/weatherapp.github.io
A website made using HTML CSS and JS , using JS for making API calls and represent the required information in a clean and concise manner
akshpreetsingh988/Web_Game
A simple Game made with JS, CSS, HTML , where we click the buttons in a sequence generated by the random function