293 Open source projects that are alternatives of or similar to Theano Xnor Net

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Setup and customize deep learning environment in seconds.

Generative Adversarial Networks in TensorFlow 2.0

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

Convolutional AutoEncoder application on MRI images

A deep neural network for face alignment

3-day dive into deep learning at csc

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Label Embedding Network

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

RNN benchmarks of pytorch, tensorflow and theano

Generating proportional fonts with deep learning

DL course co-developed by YSDA, HSE and Skoltech

Collection of iris classifcation program for teaching purpose

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

A course in reinforcement learning in the wild

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Deep Reinforcement Learning library for humans

A deep generative model library in Theano and Lasagne

The implementation of Relativistic average GAN with Keras

Periodic Spatial Generative Adversarial Networks

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

TensorBasicModel

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Documentation:

Experiments for understanding disentanglement in VAE latent representations

Keras package for region-based convolutional neural networks (RCNNs)

A free audio dataset of spoken digits. Think MNIST for audio.

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

GPU-accelerated Deep Learning on Windows 10 native

Lightweight library to build and train neural networks in Theano

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

Neural Machine Translation with Keras

Collection of generative models in Tensorflow

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

An implementation of RNN-RBM & GBRBM.

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

How to use TensorLayer

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Reimplementation of DRAW

Play deep learning with CIFAR datasets

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Keras implementation of BERT with pre-trained weights

Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

🔬 Nano size Theano LSTM module

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

The RWTH extensible training framework for universal recurrent neural networks

中文 Python 笔记