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The Top 23 Jupyter Notebook Neural Open Source Projects

Open source projects categorized as Jupyter Notebook Neural
Categories > Data Processing > Jupyter Notebook
Awesome Dl Projects ⭐ 237
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
most recent commit 2 years ago
Neural Ordinary Differential Equations ⭐ 235
Sample implementation of Neural Ordinary Differential Equations
most recent commit 5 years ago
Coursera_deep_learning ⭐ 233
This something about deep learning on Coursera by Andrew Ng
most recent commit 6 years ago
Np Hard Deep Reinforcement Learning ⭐ 231
pytorch neural combinatorial optimization
most recent commit 6 years ago
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).
most recent commit 7 years ago
Deeptextures ⭐ 229
Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
most recent commit 8 years ago
Node ⭐ 227
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
most recent commit 4 years ago
Spyketorch ⭐ 226
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
most recent commit 3 years ago
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)
most recent commit 7 years ago
Jddc_solution_4th ⭐ 225
2018-JDDC大赛第4名的解决方案
most recent commit 6 years ago
Overcoming Catastrophic ⭐ 219
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
most recent commit 4 years ago
Spytorch ⭐ 218
Tutorial for surrogate gradient learning in spiking neural networks
most recent commit a year ago
Understanding_tensorflow_nn ⭐ 212
🔮Getting started with TensorFlow: Classifying Text with Neural Networks
most recent commit 6 years ago
Bayesian Neural Network Mnist ⭐ 212
Bayesian neural network using Pyro and PyTorch on MNIST dataset
most recent commit 5 years ago
Neural Network From Scratch ⭐ 211
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
most recent commit 5 years ago
Neural Style Painting ⭐ 204
Implementing of the "A Neural Algorithm of Artistic Style"
most recent commit 6 years ago
Neuralforcefield ⭐ 202
Neural Network Force Field based on PyTorch
most recent commit 4 months ago
Cs231n ⭐ 202
my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition
most recent commit 8 years ago
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
most recent commit 2 years ago
Applied Deep Learning With Keras ⭐ 195
Deep Learning examples with Keras.
most recent commit 6 years ago
Basset ⭐ 195
Convolutional neural network analysis for predicting DNA sequence activity.
most recent commit 4 years ago
Tensorflow In Practise Specialization ⭐ 193
Four Courses Specialization Tensorflow in practise Specialization
most recent commit 2 years ago
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.
most recent commit a year ago
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