:satellite: Simple and ready-to-use tutorials for TensorFlow
- tensorflow
- python
- deep-learning
- deep-learning-tutorial
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Natural Language Processing Tutorial for Deep Learning Researchers
Practice your pandas skills!
- pandas
- jupyter-notebooks
- pandas-tutorial
- python-pandas
机器学习相关教程
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
This repository contains demos I made with the Transformers library by HuggingFace.
- transformers
- pytorch
- bert
- vision-transformer
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
TensorFlow Tutorials with YouTube Videos
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
Simple tutorials using Google's TensorFlow Framework
common data analysis and machine learning tasks using python
- data-science
- python
- python-tutorial
- data-scientists
From the basics to slightly more interesting applications of Tensorflow
:earth_americas: machine learning tutorials (mainly in Python3)
验证码识别
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
Handout for the tutorial "Creating publication-quality figures with matplotlib"
a curated list of R tutorials for Data Science, NLP and Machine Learning
- datascience
- data-science
- r
- text-mining
A curated list of awesome ggplot2 tutorials, packages etc.
- ggplot2
- ggplot2-themes
- data-visualization
- geoms
Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
- blogs
- businessintelligence
- courses
- data
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano