Aayush Kandpal's Projects
100 Must-Read NLP Papers
Hi there
This is a simple ANN with some techniques such as dropout regularisation to predict fraud using bank details
A curated list of deep learning image classification papers and codes
This is the code and introduction for how to apply simple deep learning method on background removal.
A basic monte carlo simulation to analyse the price of a given stock based on normal distribution.
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
A basic CNN architecture.
Based on the data of about 90000 crops data. Condition of 60000 crops is to be predicted
ANN Geographic Segmentation Model to tell which of the customers are at highest risk of leaving
Deep Learning Examples
ML4E TASK
Introduction to Stock visualisation
Generative Adversarial Networks implemented in PyTorch and Tensorflow
A model to detect sudden highs or lows in the HDFC Bank stock prices based on the data of last two decades.(1996-2020)
Predicting a heart disease accurately based on 14 markers.
A proof-of-concept jupyter extension which converts english queries into relevant python code
Minimal, clean example of lstm neural network training in python, for learning purposes.
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch
Codes for the videos of my YouTube channel
Open Source Computer Vision Library
A guideline for building practical production-level deep learning systems to be deployed in real world applications.