Aayushk26

100-nlp-papers

100 Must-Read NLP Papers

Advanced-CNN-Architectures

Artificial-Neural-Networks-for-Detecting-Fraud-

This is a simple ANN with some techniques such as dropout regularisation to predict fraud using bank details

Background-removal-using-deep-learning

This is the code and introduction for how to apply simple deep learning method on background removal.

Basic-monte-carlo-Simulation-

A basic monte carlo simulation to analyse the price of a given stock based on normal distribution.

Breast_Cancer_Classification_Tissue_Identification

Financial-Analysis-Intro

Introduction to Stock visualisation

HDFC-Stock-Price-Anomaly-Detection

A model to detect sudden highs or lows in the HDFC Bank stock prices based on the data of last two decades.(1996-2020)

Stock-Prediction-LSTM-model-TESLA-stock

Model to predict the stock prices of TESLA (TSLA) using the data of last 4 years

Time_Series_Modelling

Implementation and Understanding Different Time Series Models

Aayushk26/Advanced-CNN-Architectures

Aayushk26/HDFC-Stock-Price-Anomaly-Detection

A model to detect sudden highs or lows in the HDFC Bank stock prices based on the data of last two decades.(1996-2020)

Aayushk26/Simple-car-price-prediction

Using Multiple regression, ensemble method

Aayushk26/stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Aayushk26/web-app

A Web App to Understand Stock Indicators

Aayushk26/HackerEarth-Machine-learning-Attrition-rates-

Aayushk26/Breast_Cancer_Classification_Tissue_Identification

Aayushk26/Financial-Analysis-Intro

Introduction to Stock visualisation

Aayushk26/Time_Series_Modelling

Implementation and Understanding Different Time Series Models

Aayushk26/Aayushk26

Hi there

Aayushk26/ALL-ML-DS-cheatsheets

Aayushk26/awesome-image-classification

A curated list of deep learning image classification papers and codes

Aayushk26/Convolutional-Neural-Networks-Intro

A basic CNN architecture.

Aayushk26/DeepLearningExamples

Deep Learning Examples

Aayushk26/economic-data

Aayushk26/Extractive_Text_Summarization

ML4E TASK

Aayushk26/gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Aayushk26/Image-processing

Aayushk26/nfnets-pytorch

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

Aayushk26/opencv

Open Source Computer Vision Library

Aayushk26/Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Aayushk26/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Aayushk26/spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

Aayushk26/TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Aayushk26/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Aayushk26/the-gan-zoo

A list of all named GANs!

Aayushk26/U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Aayushk26/U-2-Net-Demo

Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Bounding Box Creation and Salient Feature Highlighting

Aayushk26/vision_transformer

Aayushk26/zerodha-economic-data