90 Open source projects that are alternatives of or similar to SANET

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

🤖 Implements of Reinforcement Learning algorithms.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Machine Learning notebooks for refreshing concepts.

The style transfer paper collection in International CV conference

📢 Ready to learn or review your knowledge!

deeplearning.ai , By Andrew Ng, All video link

Bidirectional LSTM network for speech emotion recognition.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Study and implementation about deep learning models, architectures, applications and frameworks

Grapheme To Phoneme

Pytorch implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Lets Learn AI

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

attention model for entailment on SNLI corpus implemented in Tensorflow and Keras

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Unofficial Pytorch(1.0+) implementation of paper [Fast Patch-based Style Transfer of Arbitrary Style](https://arxiv.org/abs/1612.04337).

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

RAD: Reinforcement Learning with Augmented Data

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Hands-On Deep Learning Algorithms with Python, By Packt

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

A C++11 implementation of the B-Tree part of "The Case for Learned Index Structures"

The deeplearning algorithms implemented by tensorflow

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

A flask website for style transfer

Deep learning software for colorizing black and white images with a few clicks.

Entirety.ai Intuition to Implementation Meetup Content.

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

Implementation of Image Style Transfer Using CNNs using Pytorch.

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

Attention mechanism Implementation for Keras.

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

PyTorch implementation of Deformable Convolution

Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.

Unofficial implementation algorithms of attention models on SNLI dataset

Implementation of the Swin Transformer in PyTorch.

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約