neural-network

A recurrent/memory-based neural network library implemented from scratch in C.

:walking: Cython implementation of DeepWalk

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow

Depth estimation with neural network, and learning on RGBD images

Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.

Neural Networks Figures

Used deep reinforcement learning to train a deep neural network to play tic-tac-toe and deployed using tensorflow.js.

My notes for coursera course AI TensorFlow in Practice Specialization.

simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch

Deep Learning framework with NVIDIA & AMD support

Real-time Mobile Car Pose Estimation with CoreML

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

(Batched) advanced indexing for PyTorch.

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

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[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet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

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