Fast, flexible and fun neural networks. This is the successor of PyBrain.
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Neural networks, regression and feature learning in Clojure.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
Analyzes structured data and helps produce queries, insights or visualizations.
Neural networks framework in pure C: training and inference, no dependencies.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
Provides a flexible framework that simplifies the process of building custom multi-agent environments for LLMs.
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
Is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
Neural networks in JavaScript - continued community fork of Brain.
Layer - Neural network inference from the command line, implemented in.
Blog for understanding Neural Networks!
FANN (Fast Artificial Neural Network) binding.
Torch CUDA Neural Network Implementation.
FeatherCNN is a high performance inference engine for convolutional neural networks.
Deep Neural Networks for Golang (powered by MXNet).
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
Neural network inference from the command line, implemented in CHICKEN Scheme.