6266 Open source projects that are alternatives of or similar to Learningdl

由淺入深的深度學習資源 Collection of deep learning materials for everyone

The implementation of Relativistic average GAN with Keras

Take further steps in the arms race of adversarial examples with only preprocessing.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

All For NLP, especially Chinese.

Multiple implementations for abstractive text summurization , using google colab

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Spectral Normalization for Keras Dense and Convolution Layers

Tutorials for deep learning

Text Classification through CNN, RNN & HAN using Keras

Real-time portrait segmentation for mobile devices

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

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Service Classification based on Service Description

A one-stop repository for low-code easily-installable object detection pipelines.

Code for polyaxon tutorials and examples

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Learning human driver models from NGSIM data with imitation learning.

capsule networks that achieves outstanding performance on the German traffic sign dataset

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Deep Reinforcement Learning for de-novo Drug Design

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

📓 deepleaning and cv notes.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Learn OpenCV : C++ and Python Examples

Deep Learning Projects that Build Themselves

Action recognition using soft attention based deep recurrent neural networks

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Anomaly detection tutorial on univariate time series with an auto-encoder

Lab Materials for MIT 6.S191: Introduction to Deep Learning

This is the implementation of paper <Additive Margin Softmax for Face Verification>

深度学习笔记

PyTorch Tutorial (1.7)

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

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

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

Python tutorials as Jupyter Notebooks for NLP, ML, AI

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

tutorials made for biologists to learn deep learning

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

机器学习与深度学习算法示例

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

keras를 이용한 딥러닝 기초 학습

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Develop production ready deep learning code, deploy it and scale it

我的强化学习笔记和学习材料📖 still updating ... ...

Client side rendering of Jupyter notebooks

python automatic data quality check toolkit

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

for code created as part of http://studywolf.wordpress.com

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf