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Deep_learning_bootcamp ⭐ 67

All the learning material for deep learning bootcamp can be found in this repository

Shortcut Perspective ⭐ 67

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

Graphneuralnetwork ⭐ 67

The learning of the GraphNeuralNetwork

Deep Bayesian Nonparametrics Papers ⭐ 67

The collection of papers about combining deep learning and Bayesian nonparametrics

My Solution to Assignments of CS231n in Winter2016

Handwritten_text ⭐ 67

Go-playing neural network in Python using TensorFlow

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

Theoretical Proof Of Neural Network Model And Implementation Based On Numpy ⭐ 66

This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

Automatic Image Colorization ⭐ 66

Automatic image colorization with a deep convolutional neural network

Bengali Handwritten Character Recognition Using Convolutional Neural Networks ⭐ 66

Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.

Pythonic_ocr ⭐ 66

A convolutional neural network implemented in pure numpy.

Puzzle_cube ⭐ 66

Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search

Nnaotest ⭐ 66

Neural Network Ambient Occlusion for Unity

Deep_learning_starting_with_the_latest_papers ⭐ 65

최신 논문으로 시작하는 딥러닝 강의 (개정된 강의 이름 : 논문으로 짚어보는 딥러닝의 맥) 기록

Tic_tac_toe_neural_network Live ⭐ 65

This is the code for the "How to Make a Tic Tac Toe Neural Network Easily" live session by @Sirajraval on Youtube

Pynq Project ⭐ 65

PYNQ, Neural network Language model, Overlay

Bottleneck ⭐ 65

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

Orthogonal Convolutional Neural Networks ⭐ 65

Code for paper "Orthogonal Convolutional Neural Networks".

Awesome Nn Optimization ⭐ 65

Awesome list for Neural Network Optimization methods.

Deep_learning_tutorials ⭐ 65

deep learning: theory + practice

Neural Network Sandbox ⭐ 64

This is a source code of Software called Neural Network Sandbox.Neural Network Sandbox makes making and training basic feed forward neural networks easy.

Paper Spray ⭐ 64

List of interesting papers to read

Intrusion Detection Systems ⭐ 64

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

Multitask ⭐ 64

Code for Task representations in neural networks trained to perform many cognitive tasks

Machinelearning ⭐ 64

some real example of machine learn algorithm

1day Notebooks ⭐ 63

A Deep Learning Neural Network Example written in Elixir

Urban Environments ⭐ 63

Code for constructing the urban environments dataset and for land use classification via convolutional neural networks

Deeplearning ⭐ 63

For Deeplearning Study

An expressive shorthand to describe a deep learning architecture

Eunn Tensorflow ⭐ 62

Efficient Unitary Neural Network(EUNN) implementation in Tensorflow

Dl Ecg Review ⭐ 62

A Review of Deep Learning Methods on ECG Data

Deep Learningai ⭐ 61

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

Rfnoc Hls Neuralnet ⭐ 61

Awesome Machine Learning Papers ⭐ 61

A curated list of awesome Machine Learning Papers, Repositories

Complete Guide To Deep Learning ⭐ 61

This guide is for those who know some math, know some programming language and now want to dive deep into deep learning

Crfasrnnlayer ⭐ 61

Conditional Random Fields as Recurrent Neural Networks (Tensorflow)

Deep_openset_recognition_through_uncertainty ⭐ 61

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

Pathnet Pytorch ⭐ 60

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Neural Network for Go.

Formula1epoch ⭐ 60

An autonomous R.C. racecar which detects people.

Go feed forward artificial neural network library

Dnn Watermark ⭐ 60

Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

Papers and code of Explainable AI esp. w.r.t. Image classificiation

Rgb Neural Net ⭐ 60

Physical visualisation of neural network learning using RGB leds, arduino and raspberry pi.

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

High-performance operations for neural network potentials

Recurrent Neural Net ⭐ 60

A recurrent (LSTM) neural network in C

A list of paper, books and sites for various different topics related to machine learning and deep learning along with various field in which it is implemented

Mnist Bnns ⭐ 59

Take MNIST TensorFlow deep neural network, run on iOS BNNS

Temporalcnn ⭐ 59

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Tensorflow Notebooks Examples ⭐ 59

Tensorflow Notebook Examples and Tutorials

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)

Deep Learning Coursera ⭐ 59

Deep Learning Specialization by Andrew Ng on Coursera.

Triplet Net Keras ⭐ 59

Implementation of Triplet Neural Network on keras

Flattened Cnn ⭐ 59

Flattened convolutional neural networks (1D convolution modules for Torch nn)

A convolutional neural network library for NLP.

Bnns Cocoa Example ⭐ 59

An example of a neural network trained by tensorflow and executed using BNNS

Autodiff ⭐ 58

Rudimentary automatic differentiation framework

Imagerecognizer Android ⭐ 58

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

Deep Learning ⭐ 58

Simple example of using the Accord .NET C# library to implement a deep-learning neural network (deep belief network) with machine learning. Solves XOR and an ASCII digit dataset.

Deep learning for spiking neural networks

Neuralnetplayground ⭐ 58

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Nn Theano ⭐ 58

Speed up your Neural Network with Theano and the GPU

Julia artificial neural networks

Neural Networks in Cython, inspired by PyBrain.

Cambridge Ai ⭐ 58

Shellnet ⭐ 58

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

Mnist Neural Network Plain C ⭐ 58

A neural network implementation for the MNIST dataset, written in plain C

Chemical Reaction Neural Network

Datascience Projects ⭐ 57

A collection of personal data science projects

Train Ai With Django Swagger Jwt ⭐ 57

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

Bitcoinprediction ⭐ 57

CryptoCurrency prediction using Deep Recurrent Neural Networks

Transnorm ⭐ 57

Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)

Deep Eos ⭐ 57

General-Purpose Neural Networks for Sentence Boundary Detection

Genetic Algorithm Rnn ⭐ 57

Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration

Brains Jruby ⭐ 57

A feedforward neural network implementation for JRuby

Synapses ⭐ 57

A group of neural-network libraries for functional and mainstream languages

Supervised Spiking Network

Mxnet_tutorial ⭐ 56

Using Mxnet!!!!

This is a repository for summarizing papers especially related to machine learning.

Bangbangml ⭐ 56

Watch a Neural Network learns to shoot a target

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

Time Series Forecasting Rnn Tensorflow ⭐ 56

Time series forecasting

Deepmusicclassification ⭐ 56

An implementation of a Convolutional Neural Network to Classify Music Genres

Neural Networks For Low Level Image Processing ⭐ 56

This is a collection of works on neural networks for low level image processing.

Deep Learning 101 ⭐ 56

The tools and syntax you need to code neural networks from day one.

Machine_learning_resources ⭐ 56

A repo with curated list of ML libraries, packages, framework, etc.

Pytorch Scholarship Challenge Notes ⭐ 55

My notes on PyTorch Scholarship Challenge [Phase 1] 2018/2019

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

Bayesbyhypernet ⭐ 55

Code for the paper Implicit Weight Uncertainty in Neural Networks

Fast artistic style transfer with convolutional neural networks.

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.

Deep Text Classification Pytorch ⭐ 55

Deep neural network text classification papers in PyTorch

Mobile_convnet ⭐ 54

RenderScript based implementation of Convolutional Neural Networks for Android phones

Embedded_gcnn ⭐ 54

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Nn_from_scratch ⭐ 54

Multilayer Neural Network using numpy.

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