4113 Open source projects that are alternatives of or similar to Awesome Tensorlayer

TensorFlow and Deep Learning Tutorials

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

How to use TensorLayer

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Conversational AI Reading Materials

PyTorch tutorial for learners

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

How to build RNNs and LSTMs from scratch with NumPy.

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Machine Reading Comprehension in Tensorflow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Next RecSys Library

Deep learning codes and projects using Python

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

videos, lectures, blogs for Deep Learning

TensorFlow Tutorials

Simple and comprehensive tutorials in TensorFlow

Image Captioning: Implementing the Neural Image Caption Generator with python

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

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

The Pytorch Implementation of L-Softmax

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Lung fields segmentation on CXR images using convolutional neural networks.

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

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Tensorflow implementation of conditional variational auto-encoder for MNIST

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Awesome GAN for Medical Imaging

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Focal Frequency Loss for Generative Models

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

🎎 InfoGAN: Interpretable Representation Learning

Generative Adversarial Networks and Autoencoders for 3D Shapes

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Important paper implementations for Question Answering using PyTorch

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Image reconstruction done with untrained neural networks.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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Anomaly detection for temporal data using LSTMs