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2,951 search results found

Drawlikebobross ⭐ 112

Draw like Bob Ross using the power of Neural Networks (With PyTorch)!

Scala library for neural networks

Bach_ai ⭐ 111

LSTM Neural Network that tries to write piano melodies similar to Bach's

Mipverify.jl ⭐ 111

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Cuda Neural Network ⭐ 110

Convolutional Neural Network with CUDA (MNIST 99.23%)

Deep neural network kernel for Gaussian process

Javacnn ⭐ 109

A Java implement of Convolutional Neural Network.

Ihmehimmeli ⭐ 109

Invertinggradients ⭐ 109

Algorithms to recover input data from their gradient signal through a neural network

Cs231n 2019 Assignments ⭐ 108

Solution to CS231n Assignments 2019

Jokenpo ⭐ 108

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

Pytorch Model Zoo ⭐ 108

A collection of deep learning models implemented in PyTorch

Stock_cnn_blog_pub ⭐ 108

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

Hyperbolic_nn ⭐ 107

Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112

Deep Learning ⭐ 107

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout，三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

Compositional_deep_learning ⭐ 106

Deep learning via category theory and functional programming

light NN client

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

Securenn Public ⭐ 106

Implementation of protocols in SecureNN.

Implementation of the Differentiable Neural Computer in Tensorflow

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

Neural Net Ruby ⭐ 105

A neural network, written in Ruby

Neural_network_elixir ⭐ 105

Neural network written in Elixir

Convolutional Network ⭐ 104

A convolutional neural network from scratch

Allennlp Semparse ⭐ 104

A framework for building semantic parsers (including neural module networks) with AllenNLP, built by the authors of AllenNLP

scorch is a deep learning framework in Scala inspired by PyTorch

Deepplantphenomics ⭐ 104

Deep learning for plant phenotyping.

Neural networks from scratch

Nmn Pytorch ⭐ 103

Neural Module Network for VQA in Pytorch

Physics-informed neural networks package

CS224D Assignments

Small library for using neural networks and core.matrix

Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

Examples ⭐ 103

Fully-working mlpack example programs

Pong_neural_network_live ⭐ 103

This is the code for "Pong Neural Network(LIVE)" by @Sirajology on Youtube

Deep_draw ⭐ 103

Convolution neural network... for draw video poker. Perhaps, we learn something useful for other poker, too.

Dl_in_nlp_2019 ⭐ 102

Taking together Stanford cs224n course with support of iPavlov team.

Trojai Literature ⭐ 102

Dni.pytorch ⭐ 102

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

Nn Brain ⭐ 102

Tutorial codes for modeling brains with neural nets

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Pseudo_label Pytorch ⭐ 101

The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

Neurallanguage Notes ⭐ 101

summaries and notes on neural language learning papers (deprecated)

Matlab Environment for Deep Architecture Learning

Cnn From Scratch ⭐ 101

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

Mantranet Pytorch ⭐ 101

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

Graph Networks ⭐ 101

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Deep_learning ⭐ 101

added all materials

Distilling The Knowledge In Neural Network ⭐ 101

Teaches a student network from the knowledge obtained via training of a larger teacher network

A Python library for building atomic neural networks

Andrewng Deeplearning ⭐ 100

微专业: 吴恩达深度学习工程师作业

Tinier Nn ⭐ 99

📱 Binarized Neural Network TF training code + C matrix / eval library.

Age And Gender Classification ⭐ 99

Caffe implementation of age and gender classification using convolutional neural network

Dl_tutorials_3rd ⭐ 99

Deep learning tutorials (third edition)

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

Tlearn Rb ⭐ 98

Recurrent Neural Network library for Ruby

The Arbor multi-compartment neural network simulation library.

Neuroptica ⭐ 97

Flexible simulation package for optical neural networks

Deeplearning.ai Convolutional Neural Networks ⭐ 97

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

Simple_adversarial_examples ⭐ 96

Repo of simple adversarial examples on vanilla neural networks trained on MNIST

A Cryptographic Inference Service for Neural Networks

Recurrentnn.jl ⭐ 96

Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia

Numpyann ⭐ 95

Implementation of Artificial Neural Networks using NumPy

Seer Nnue ⭐ 94

UCI chess engine using neural networks for position evaluation

Ut Dallas Cs 6301 Cnns ⭐ 94

Deep Learning Class

Pytorch Agnn ⭐ 94

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

Neural Networks ⭐ 93

Artificial Neural Networks / Python

Python Machine Learning Book 3rd Edition ⭐ 93

<머신 러닝 교과서 3판>의 코드 저장소

Branchynet ⭐ 93

Deep Learning Cv ⭐ 93

Course Material for "Application of Deep Learning in Computer Vision"

Automatic neural network visualizations generated in your browser!

Streamingcnn ⭐ 92

To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

functional neural networks in ocaml

Going_deeper ⭐ 92

Going Deeper: Infinite Deep Neural Networks

Snn_benchmark ⭐ 91

Nnabla Ext Cuda ⭐ 91

A CUDA Extension of Neural Network Libraries

Pinns Tf2.0 ⭐ 91

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

Synaptic ⭐ 91

Neural Networks in Clojure

Deep-learning library for ARM boards based on psyc

Neural Network Animation ⭐ 91

Watch a neural network think. Written in Python.

Recurrent Neural Networks ⭐ 91

Recurrent Neural Network for modeling sequential data implemented using Python and Theano.

Neural Network From Scratch ⭐ 91

A Neural Network implemented from scratch (using only numpy) in Python.

Learn Convolutional Neural Network For Face Anti Spoofing ⭐ 90

Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper

Pgexplainer ⭐ 90

Parameterized Explainer for Graph Neural Network

Fast Symmetric Diffeomorphic Image Registration With Convolutional Neural Networks ⭐ 90

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

Neuralnilm ⭐ 90

Deep Neural Networks Applied to Energy Disaggregation

Fast and simple Neural Network for node.js

Neuralnetwork ⭐ 90

Simple Back Propagation Neural Network

Transnetv2 ⭐ 90

TransNet V2: Shot Boundary Detection Neural Network

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

Repository for the One class neural networks paper

Vim Brain ⭐ 88

Neural Networks written in Vim script

Neural Network Verification Software Tool

Hand_detection ⭐ 88

using Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) dataset. I was interested mainly in detecting hands on a table (egocentric view point). I experimented first with the [Oxford Hands Dataset](http://www.robots.ox.ac.uk/~vgg/data/hand (the results were not

Lasagne4bio ⭐ 88

Deep Learning For Anomaly Detection A Survey ⭐ 87

This paper is continuously updated with deep anomaly detection methods and their applications

A SMPC companion library for Syft

Keras Deep Learning Paper Implementations ⭐ 87

Keras implementation of Deep Learning papers

Henryailabs Videolist ⭐ 87

A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!

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