neural-network

Network Assembler is a simple way to create neural networks in Keras

(Batched) advanced indexing for PyTorch.

Udacity Deep learning nanodegree projects

[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet

Re-implementation of Mueller's et al., "Siamese Recurrent Architectures for Learning Sentence Similarity." (AAAI, 2016)

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system re...

training neural networks with akka

Evolution Strategy Library

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

Feedforward neural network learning in real time

Evolving of neural networks for collective agents

Implementation of key concepts of neuralnetwork via numpy

Deep Learning neural network for correcting spelling

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to grow and teach Artificial Neural Networks without back propagatio...

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learn...

Implementation of meta-transfer-learning for ASR and LM (ACL 2020)

A large-scale spiking model of the vision-related areas of macaque cortex.

Draw your net

This model is meant to help triage patients (prioritize certain patients for testing, quarantine, and medical attention) that require diagnosis for CO...

Neural agents learn to play in an agario-like environment with Neataptic

Code based in TensorFlow

Number detection implemented using TensorFlow with custom CNN architecture for fast inference and custom dataset

🦎 Simple AI to teach Google Chrome's offline dino to jump obstacles

Image recognition using Machine Learning, Tensorflow and Google Inception Neural Networks to fool the Recaptcha System for Recognition of Bots. Demons...

Repositório para o meu curso na Udemy

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Hierarchical self-organizing maps for unsupervised pattern recognition

Lviv Data Science Summer School 2016 project

Human activity recognition on iOS using Swift, CoreMotion, and NeuralNet.

PyTorch implementation of Memory Augmented Self-Play

Hopfield neural networks in Go

💩 My pytorch neural network practice repo

Library to make and train a concurrent multilayer perceptron

Pytorch implementation of DeepDream on VGG16 Network

Computational graph library for machine learning

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

Demonstration notebooks for Machine Learning

shapechecking neural net DSL using Hindley-Milner type system(compiles to pytorch as proof of concept)

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

Using a GAN based multi scale CNN to predict future frames of a video. Implemented in Chainer

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning

A C++ implementation to create, visualize and train Convolutional Neural Networks

The VGG16 and VGG19 networks in caffe with jupyter notebook

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

Deep Learning model to predict the template of the given meme