neural-network

Hacking the Singularity. Deep learning hacking. Weaponizing AI in Offensive security

Code from Michael Nielsen book Neural Networks and Deep Learning ported to C++.

Machine learning for beginner(Data Science enthusiast)

A tool for cell instance aware segmentation in densely packed 3D volumetric images

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encr...

Machine learning framework for reservoir simulation

A neural network library for Swift

A toolkit for enforcing logical specifications on neural networks

Deep Learning Benchmarking Suite

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monoto...

Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The...

Application of deep learning for earth observation.

A machine learning library built with user convenience at its core

An easy neural network for Java!

Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)

C and C++ examples for tensorflow

Classifying the Blur and Clear Images

A curated list of papers and resources about the distribution shift in machine learning.

A curated list of Deep Learning resources sorted by reputation

A tiny neural network 🧠

A neural network, written in Ruby

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.o...

Ceras is yet another tiny deep learning engine, in pure c++ and header only.

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

A fully convolution-network for speech-to-text, built on pytorch.

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Deep learning models and dataset for recognizing industrial smoke emissions

An Open Workflow to Build Custom SoCs and run Deep Models at the Edge

theory of helix—— “螺旋论（可用来构建螺旋熵减机、及自然演化熵减机系统等）”

Recurrent Neural Network for predicting Stock Returns

Self driving car AI in road fighter world

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"

Deep learning training framework for image super resolution and restoration.

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

Generative Pre-Trained Physics-Informed Neural Networks Implementation

ConText v4: Neural networks for text categorization

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

Awesome deep learning crate

Open-source machine learning framework for Java. Designed with speed and lightweight in mind.

Ogma - OgmaNeo

Implementation for <Deep Hyperspherical Learning> in NIPS'17.

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Edge : a computing engine base C++/C

An experimental deep learning framework for Nim based on a differentiable array programming language

Can a neural network predict your next move on a game of rock, paper and scissor?