aksh-ai

Neural Networks and Exploits

BrainSightAIChennai, Tamil Nadu, India

Pinned Repositories

drive-ai
A complete Warning System for Drivers using Artificial Intelligence and Computer Vision for India.
2 2 00
image-super-resolution
Photo-Realistic single image super-resolution using Generative Adversarial Network (SRGAN) implemented using PyTorch.
Language:Python3 3 01
museum-sentiment-analysis-BERT
A simple sentiment analysis based text classification using Google BERT for museum tweets with HuggingFace Transformers and PyTorch.
Language:Jupyter Notebook2 1 00
naive_article_spinner
Simple article spinner using Python & NLP techniques
Language:Python2 2 00
neuralBlack
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
Language:Jupyter Notebook108 4 1139
pe_malware_prediction
To predict portable executable malware using Neural Networks with Tensorflow
Language:Jupyter Notebook4 2 01
revshell-dev
A simple exploit programmed in C, Assembly and Python that uses crafted shellcode with multiple stages to understand the practices as well as the concepts of shellcodes, reverse shells and exploit development.
Language:Assembly3 1 01
stock_bot
A simple stock trading bot using Reinforcement Learning (Deep Q Learning).
Language:Jupyter Notebook3 3 04
style-transfer
Simple Style Transfer using PyTorch
Language:Jupyter Notebook3 2 01
tofu
Tofu is a framework for Machine Learning and Deep Learning supporting Python, C, and C++ programming languages. It is still in its very early development stages.
Language:Python3 2 01

aksh-ai's Repositories

aksh-ai/neuralBlack
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
Language:Jupyter Notebook108 4 1139
aksh-ai/pe_malware_prediction
To predict portable executable malware using Neural Networks with Tensorflow
Language:Jupyter Notebook4 2 01
aksh-ai/image-super-resolution
Photo-Realistic single image super-resolution using Generative Adversarial Network (SRGAN) implemented using PyTorch.
Language:Python3 3 01
aksh-ai/stock_bot
A simple stock trading bot using Reinforcement Learning (Deep Q Learning).
Language:Jupyter Notebook3 3 04
aksh-ai/style-transfer
Simple Style Transfer using PyTorch
Language:Jupyter Notebook3 2 01
aksh-ai/tofu
Tofu is a framework for Machine Learning and Deep Learning supporting Python, C, and C++ programming languages. It is still in its very early development stages.
Language:Python3 2 01
aksh-ai/drive-ai
A complete Warning System for Drivers using Artificial Intelligence and Computer Vision for India.
2 2 00
aksh-ai/museum-sentiment-analysis-BERT
A simple sentiment analysis based text classification using Google BERT for museum tweets with HuggingFace Transformers and PyTorch.
Language:Jupyter Notebook2 1 00
aksh-ai/naive_article_spinner
Simple article spinner using Python & NLP techniques
Language:Python2 2 00
aksh-ai/third-eye-ids
Third Eye is a Hybrid Intrusion Detection System that uses Deep Learning
Language:Python2 2 00
aksh-ai/beacon-rd
Product developed for Ministry of Coal (Government of India) aiming Coal mine Rescue. © Rogue Daemons.
Language:Python1 1 00
aksh-ai/DCGAN
Deep Convolutional Generative Adversarial Network (DCGAN) for generating human faces using Neural Networks with Tensorflow
Language:Jupyter Notebook1 3 0
aksh-ai/deep-dream
Dream with Neural Networks - An implementation of Deep Dream using Tensorflow.
Language:Jupyter Notebook1 2 0
aksh-ai/github-copilot-demo
A test and demo repository for GitHub copilot preview
Language:Python1 3 0
aksh-ai/aksh-ai.github.io
Portfolio Website
Language:HTML1 0
aksh-ai/data-structures-using-python
Data structures basics and exercises using Python
Language:Python2 0
aksh-ai/ddl_sjce
Webinar series materials
Language:Jupyter Notebook2 0
aksh-ai/dl-tutorial
Materials, code and scripts related to my workshops, tutorials & E-Live streams on Deep Learning using Pytorch
Language:Jupyter Notebook2 0
aksh-ai/dl_sess
Code and reference notes for my workshop on Deep Learning using Tensorflow
Language:Jupyter Notebook2 0
aksh-ai/dsa
A repository containing implementations of Data Structures & Algorithms
2 0
aksh-ai/GAN_for_digits
Generative Adversarial Network (GAN) to generate photo-realistic handwritten digits using Neural Networks
Language:Jupyter Notebook2 0
aksh-ai/gm_sess
Generative Modelling webinar series hands-on
Language:Python2 0
aksh-ai/HDC-from-scratch
A Handwritten digits classifier from scratch using Python.
Language:Jupyter Notebook2 0
aksh-ai/object-tracking
Object Tracking with OpenCV in C++
Language:C++2 0
aksh-ai/object_detection
This repository is for my online webinar series on 'Demystifying Computer Vision' where I teach CNNs and other basics/prerequisites, Image Classification, and Object Detection/Segmentation using Pytorch and Torchvision.
Language:Jupyter Notebook2 0
aksh-ai/simple_autoencoder
A simple autoencoder using Tensorflow
Language:Jupyter Notebook
aksh-ai/skull-stripping-and-ica
Skull Stripping for T1 weighted MRI using Residual UNET 3D and Canonical ICA of rs-fMRI images
Language:Jupyter Notebook2 0
aksh-ai/tensorflow2-examples
This repository contains example scripts, modules, and programs implemented using Tensorflow 2's low level API
Language:Jupyter Notebook2 0
aksh-ai/torch-connectome
A PyTorch based library that contains Transforms, Datasets, Models, and other components specific to building ML pipelines for Brain Connectomics
1 0
aksh-ai/variational_autoencoder
A simple Variational Autoencoder using Neural Networks with Tensorflow
Language:Jupyter Notebook2 0