Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

The primary objective of this project is to detect fraud in a financial system as efficient as possible using AI.

Implementation of Deep Neural Network from scratch without other librariees

Google SVHN Prediction using Keras Tuned CNN model and Transfer Learning

The goal of this project is to design and train deep convolutional neural networks using PyTorch. I will design a deep net architecture to classify (small) images into 100 categories and evaluate the performance of the architecture by uploading the predictions to the Kaggle competition.

🚇暗网中文网监控爬虫(DEEPMIX)

Implementations of AutoEncoders, Deep Belief Networks in DL4J (Java)

A simple python program which copy any onion(DEEPNET or DARKNET)site code.

OnionScan is a free and open source tool for investigating the Dark Web.

This is a simple guide on how to use supervisley!!

Multipurpose modular deep learning neural network with opengl visualization

ResNet in tensorflow for CIFAR-100, CIFAR-10