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

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

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

Machine learning for C# .Net

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.

Just an app to use DeepFaceLab with a user interface.

Create animations for the optimization trajectory of neural nets

Hierarchical Attentive Recurrent Tracking

Classifying the Blur and Clear Images

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

(Spring 2017) Assignment 2: GPU Executor

Examples and guides for using Swarms Framework

Trying to understand neural nets by building a simple one from scratch

A Python-Tensorflow neural network for classifying cancer data

I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis

:traffic_light: An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.

Adam, NAdam and AAdam optimizers

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

Neural net simulator (McCulloch & Pitts)

Efficient Self-Organizing Map for Sparse Data

Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.

Visual tool for building neural networks with PyTorch, and generating code in Python in order to train and test them.

Targeting EEG/LFP synchrony with neural nets

Implementation of "PaLM2-VAdapter:" from the multi-modal model paper: "PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter"

Very basic neural network implementation.

A neural branch predictor tested using CPU emulator, testing both supervised learning and reinforcement learning (for COS 583: Great Moments in Computing at Princeton University)