7274 Open source projects that are alternatives of or similar to Deep Learning With Tensorflow Book

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

📚 [.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

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

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

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

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

All For NLP, especially Chinese.

My blogs and code for machine learning. http://cnblogs.com/pinard

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

A uniform interface to run deep learning models from multiple frameworks

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

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

深度学习笔记

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

The implementation of Relativistic average GAN with Keras

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

Service Classification based on Service Description

Data-centric declarative deep learning framework

Python tutorials as Jupyter Notebooks for NLP, ML, AI

machine learning and deep learning tutorials, articles and other resources

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

AI開発プラットフォームKAMONOHASHI

机器学习与深度学习算法示例

Tree LSTM implementation in PyTorch

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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

Jun 2020 scikit-learn sprint

Spectral Normalization for Keras Dense and Convolution Layers

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

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

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

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

beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs in any language and C and Cpp program , Please leave a star ⭐ to support this project! ✨

keras를 이용한 딥러닝 기초 학습

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

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

I will update this repository to learn Machine learning with python with statistics content and materials

PyTorch Tutorial (1.7)

Tools to Design or Visualize Architecture of Neural Network

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

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

tutorials made for biologists to learn deep learning

Learning human driver models from NGSIM data with imitation learning.

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Create publication-quality books from Jupyter notebooks

AI on Hadoop

FastText for Node.js

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

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

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

Code for polyaxon tutorials and examples