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1,282 search results found

Awesome Dl Projects ⭐ 237

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

Neural Ordinary Differential Equations ⭐ 235

Sample implementation of Neural Ordinary Differential Equations

Coursera_deep_learning ⭐ 233

This something about deep learning on Coursera by Andrew Ng

Np Hard Deep Reinforcement Learning ⭐ 231

pytorch neural combinatorial optimization

Stanford Cs231 ⭐ 229

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Deeptextures ⭐ 229

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Spyketorch ⭐ 226

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Mixture Density Networks For Distribution And Uncertainty Estimation ⭐ 225

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Jddc_solution_4th ⭐ 225

2018-JDDC大赛第4名的解决方案

Overcoming Catastrophic ⭐ 219

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

Spytorch ⭐ 218

Tutorial for surrogate gradient learning in spiking neural networks

Understanding_tensorflow_nn ⭐ 212

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Bayesian Neural Network Mnist ⭐ 212

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Neural Network From Scratch ⭐ 211

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Neural Style Painting ⭐ 204

Implementing of the "A Neural Algorithm of Artistic Style"

Neuralforcefield ⭐ 202

Neural Network Force Field based on PyTorch

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

Deeplearning.ai Note ⭐ 199

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及

Applied Deep Learning With Keras ⭐ 195

Deep Learning examples with Keras.

Convolutional neural network analysis for predicting DNA sequence activity.

Tensorflow In Practise Specialization ⭐ 193

Four Courses Specialization Tensorflow in practise Specialization

Spiking Neural Network Snn With Pytorch Where Backpropagation Engenders Stdp ⭐ 192

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

Deep_learning_tutorial ⭐ 192

[ko] 패스트캠퍼스 강의 자료

Cnn Re Tf ⭐ 191

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

RadIO is a library for data science research of computed tomography imaging

PyTorch Implementation of Physics-informed Neural Networks

Carputer ⭐ 186

Toy car that drives itself using neural networks

Wav2mid ⭐ 186

Automatic Music Transcription with Deep Neural Networks

Hyperspectral ⭐ 184

Deep Learning for Land-cover Classification in Hyperspectral Images.

Class.vision ⭐ 184

Computer vision and Deep learning

Practical Machine Learning With Python ⭐ 182

Machine Learning Tutorials in Python

Svhnclassifier ⭐ 182

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Stock Prediction ⭐ 181

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Keraspp ⭐ 178

코딩셰프의 3분 딥러닝, 케라스맛

Practicaldl ⭐ 176

A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course

Multi-Graph Convolutional Neural Networks

Neural_image_captioning ⭐ 174

Neural image captioning (NIC) implementation with Keras 2.

Multihead Siamese Nets ⭐ 173

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Noise2self ⭐ 167

A framework for blind denoising with self-supervision.

Deepkoopman ⭐ 165

neural networks to learn Koopman eigenfunctions

Neural Process Family ⭐ 163

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Neural Nets Are Weird ⭐ 161

Shape Detection ⭐ 158

🟣 Object detection of abstract shapes with neural networks

Efficient Neural Network Bilibili ⭐ 158

B站Efficient-Neural-Network学习分享的配套代码

Cnn Exposed ⭐ 157

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Notebooks ⭐ 156

Jupyter Notebooks with Deep Learning Tutorials

Neural Processes ⭐ 151

Pytorch implementation of Neural Processes for functions and images 🎆

Lessonmaterials ⭐ 150

Open Sourced Curriculum and Lessons for an Introductory AI/ML Course

Pydata2015 ⭐ 150

Stanford_cs231n_2019 ⭐ 147

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

Pytorch Book ⭐ 147

Source codes for the book "Application of Neural Network and PyTorch"

Attentionn ⭐ 147

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Neuralimagesynthesis ⭐ 147

Code to reproduce the results from the paper "Controlling Perceptual Factors in Neural Style Transfer" (https://arxiv.org/abs/1611.07865).

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Pytorch ⭐ 145

Deep Learning Zero to All - Pytorch

Svhnclassifier Pytorch ⭐ 145

A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Recurrent_neural_network ⭐ 143

This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

Neural Subgraph Learning Gnn ⭐ 141

A system for scientific simulation-based inference at scale.

Graph_convolutional_lstm ⭐ 140

Traffic Graph Convolutional Recurrent Neural Network

Deepinsight ⭐ 140

A general framework for interpreting wide-band neural activity

Spacenet_building_detection ⭐ 140

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Rootfinder ⭐ 139

Arabic root finder with neural nets!

Car Damage Detective ⭐ 137

Assessing car damage with convolution neural networks for a personal auto claims expedition use case

Smilecnn ⭐ 136

Smile detection with a deep convolutional neural net, with Keras.

Artificial Intelligence And Machine Learning ⭐ 135

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

Torch_npss ⭐ 134

pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成

Coordconv ⭐ 133

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

Crypto Rnn ⭐ 133

Learning the Enigma with Recurrent Neural Networks

Nn_calibration ⭐ 133

Calibration of Convolutional Neural Networks

Datascience_book ⭐ 128

Stanford Machine Learning Camp ⭐ 125

Analyzing_neural_time_series ⭐ 124

python implementations of Analyzing Neural Time Series Textbook

Simplegesturerecognition ⭐ 123

A very simple gesture recognition technique using opencv and python

Carnd Lenet Lab ⭐ 123

Implement the LeNet deep neural network model with TensorFlow.

Fastmri Reproducible Benchmark ⭐ 122

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

Lab Workshops ⭐ 120

Materials for workshops on text mining, machine learning, and data visualization

Reverse Engineering Neural Networks ⭐ 120

A collection of tools for reverse engineering neural networks.

Machine Learning And Data Science ⭐ 119

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Dynamic_neural_manifold ⭐ 117

Tensorflow 2.0 Quick Start Guide ⭐ 117

Tensorflow 2.0 Quick Start Guide, published by Packt

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

Graph2nn ⭐ 115

code for paper "Graph Structure of Neural Networks"

Sherlock Project ⭐ 113

This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.

Dnnweaver2 ⭐ 112

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

A Neural Algorithm Of Artistic Style ⭐ 110

Keras implementation of "A Neural Algorithm of Artistic Style"

Invertinggradients ⭐ 109

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

Pytorch Model Zoo ⭐ 108

A collection of deep learning models implemented in PyTorch

Cs231n 2019 Assignments ⭐ 108

Solution to CS231n Assignments 2019

Depthai Ml Training ⭐ 107

Some Example Neural Models that we've trained along with the training scripts

Intro To Deep Learning For Nlp ⭐ 107

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

Stock Price Predictor ⭐ 107

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Graphnn Multi Object Tracking ⭐ 107

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

Kaggle Quora Question Pairs ⭐ 106

My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).

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

Autocarjetsonnano ⭐ 106

PyTorch Python Neural Network Autonomous 1/10 Car for Nvidia Jetson Nano

Deeplearning.ai Pytorch ⭐ 105

PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

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