Deepfakes Software For All

DeepFaceLab is the leading software for creating deepfakes.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

NYU Deep Learning Spring 2020

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

Code for visualizing the loss landscape of neural nets

Make huge neural nets fit in memory

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

:factory: Collaboratively build, visualize, and design neural nets in browser

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

Macro to draw architecture of convolutional neural nets in tikz.

A GPU implementation of Convolutional Neural Nets in C++

Detect fire in images using neural nets

Machine learning for C# .Net

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

OptNet - Reducing memory usage in torch neural nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Tutorial codes for modeling brains with neural nets

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

My repo for training neural nets using pytorch-lightning and hydra

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

Rapid hyperparameter discovery for neural nets using genetic algorithms

Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

Style transfer using deep convolutional neural nets

Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"

Official Implementation of the CVPR'20 paper 'Π-nets: Deep Polynomial Neural Networks' and its T-PAMI-21 extension.

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow