neural-network

吴恩达深度学习编程作业原版和答案

DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.

A curated list of Deep Learning resources sorted by reputation

A tiny neural network 🧠

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

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

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

Deep learning models and dataset for recognizing industrial smoke emissions

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

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

Machine learning framework for reservoir simulation

A toolkit for enforcing logical specifications on neural networks

A neural network, written in Ruby

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)

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

Neural networks for guitar amp/pedal emulation on Daisy Seed

UCI chess engine, with NNUE trained from zero knowledge

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）”

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

Recurrent Neural Network for predicting Stock Returns

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

Application of deep learning for earth observation.

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"

A book on the mathematical foundations of AI from an engineering perspective.

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

ConText v4: Neural networks for text categorization

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

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

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

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

Self driving car AI in road fighter world

Ogma - OgmaNeo

Library for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

Awesome deep learning crate

Using your eyes to trigger shortcuts on your computer

👷胶囊表面缺陷检测withTensorflow，主要检测了凹陷和缺失部分，涉及到GPU加速

:robot: Natural language processing with JavaScript

Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

A curated list of Early Exiting papers, benchmarks, and misc.

Generative Pre-Trained Physics-Informed Neural Networks Implementation

Yandex SDA classes on deep learning. Version of year 2017

Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)

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

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)