7543 Open source projects that are alternatives of or similar to Deeplearning

코딩셰프의 3분 딥러닝, 케라스맛

Multiple implementations for abstractive text summurization , using google colab

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

Service Classification based on Service Description

The implementation of Relativistic average GAN with Keras

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.

Solution to Kaggle - Web Traffic Time Series Forecasting

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

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

MTCNN with Motion Detection, on Raspberry Pi with Love

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

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Code for polyaxon tutorials and examples

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Natural Language Processing with TensorFlow, published by Packt

Tools to Design or Visualize Architecture of Neural Network

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Code for Tensorflow Machine Learning Cookbook

All about Neural Networks!

PyTorch tutorial for learners

Spectral Normalization for Keras Dense and Convolution Layers

Deep learning codes and projects using Python

All For NLP, especially Chinese.

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

1st place solution

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

Datasets, tools, and benchmarks for representation learning of code.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Diseases Detection from NIH Chest X-ray data

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

This repository contains notes and projects of Data scientist track from dataquest course work.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Visualizer for neural network, deep learning, and machine learning models

AI on Hadoop

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A deep learning library to provide algs in pure Numpy or Tensorflow.

📚 [.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

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

keras를 이용한 딥러닝 기초 학습

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

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

Densely Connected Pyramid Dehazing Network (CVPR'2018)

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

CNN-RNN中文文本分类，基于TensorFlow

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄

Deep Learning Projects that Build Themselves

Action recognition using soft attention based deep recurrent neural networks

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Little More Advanced TensorFlow Implementations

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)