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ai_startup_prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

anonymous

anti-money-laundering-using-keras

Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

bccd_dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

beginner-network-pentesting

Notes for Beginner Network Pentesting Course

bonobo

Extract Transform Load for Python 3.5+

brat

brat rapid annotation tool (brat) - for all your textual annotation needs

bypass-sentry-safe

c-3-framework

An open-source PyTorch code for crowd counting

cellcount

A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chm13

The complete sequence of a human genome

code_snippets

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

composer

Generates video game music using neural networks.

comuni-json

🇮🇹 Database JSON comuni italiani (2019) con informazioni ISTAT + CAP aggiornati

connect4-alpha-zero

Connect4 reinforcement learning by AlphaGo Zero methods.

connect4-alphazero

Connect 4 trained using MCTS + Deep Learning (AlphaGo Zero style)

countception

Count-Ception: Counting by Fully Convolutional Redundant Counting

courses

fast.ai Courses

covid-19-scanner

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

creepy

A geolocation OSINT tool. Offers geolocation information gathering through social networking platforms.

crowd-counting-using-tensorflow

Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.

css-keylogging

Chrome extension and Express server that exploits keylogging abilities of CSS.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

deep-generation

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

deep-portfolio-theory

Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

deepgs

DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.