874 Open source projects that are alternatives of or similar to 360sd Net

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

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

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

deeplearning.ai , By Andrew Ng, All video link

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

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

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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).

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

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.

A paper list of object detection using deep learning.

Deepfakes Software For All

Deep neural network to extract intelligent information from invoice documents.

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"

Speaker independent emotion recognition

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

Learn OpenCV : C++ and Python Examples

machine learning and deep learning tutorials, articles and other resources

Action recognition using soft attention based deep recurrent neural networks

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

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

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Gorgonia is a library that helps facilitate machine learning in Go.

NeuPy is a Tensorflow based python library for prototyping and building neural networks

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Deep neural networks for predicting CpG methylation

The code for the MaD TwinNet. Demo page:

Voice Activity Detection based on Deep Learning & TensorFlow

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Data-centric declarative deep learning framework

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Learning Chinese Character style with conditional GAN

List of articles related to deep learning applied to music

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

📢 Ready to learn or review your knowledge!

Season 2 of @twosigma's artificial intelligence programming challenge

Sparse and structured neural attention mechanisms

Hierarchical Attention Networks for document classification

【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

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)

Deep Learning Projects that Build Themselves

YOLO for object detection tasks

All DeepLearning4j projects go here.

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

DeepFaceLab is the leading software for creating deepfakes.

RAD: Reinforcement Learning with Augmented Data

Lets Learn AI

Service Classification based on Service Description

Flops counter for convolutional networks in pytorch framework

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

Implementation of Quickdraw - an online game developed by Google

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Deep learning based denoiser for Cycles, Blender's physically-based production renderer.

机器学习与深度学习算法示例