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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
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…
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。
An annotated implementation of the Transformer paper.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
The 3rd edition of course.fast.ai
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Python code for common Machine Learning Algorithms
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A Code-First Introduction to NLP course
A python tutorial on bayesian modeling techniques (PyMC3)
Feature selector is a tool for dimensionality reduction of machine learning datasets
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
汉语自然语言处理视频教程-开源学习资料
Mathematical derivation and pure Python code implementation of machine learning algorithms.
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
SpaCy 中文模型 | Models for SpaCy that support Chinese
Hierarchical Attention Networks for Document Classification in PyTorch
BERT-NER (nert-bert) with google bert https://github.com/google-research.
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-play…