There are 15 repositories under neural-nets topic.
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...
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
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
A Python-Tensorflow neural network for classifying cancer data
Trying to understand neural nets by building a simple one from scratch
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
Introducing the faster and more optimized version of DeepFaceLab.
Neural network + training framework in Golang
McCulloch & Pitts neural net simulator.
Efficient Self-Organizing Map for Sparse Data
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
Visual tool for building neural networks with PyTorch, and generating code in Python in order to train and test them.
Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
Very basic neural network implementation.
This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to biomedicine. Feel free to make a pull request to contribute to this list.
Implementation of "PaLM2-VAdapter:" from the multi-modal model paper: "PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter"
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)
The repository for the tutorial series on neural networks by Kie Codes. (https://www.youtube.com/watch?v=51EoNgwoaTo&list=PLuZkwckxno0roLi1l4FoxxQiHmTd5DKn7)
Implementation of the model "Hedgehog" from the paper: "The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry"
generate jazz using lstm neural network