Repository Index

TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/

• deep-reinforcement-learning
• reinforcement-learning
• dqn
• ppo

TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/

• langchain
• rag

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

TranslatedChinese translation of wtfpython / ongoing 🚧... / My ability is limited, you are welcome to help me improve the translation

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

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

Toturials coming with the "data science roadmap" picture.

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Deep Learning Tutorial notes and code. See the wiki for more info.

:earth_americas: machine learning tutorials (mainly in Python3)

• machine-learning
• data-science
• jupyter-notebook
• python3

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

TranslatedCAPTCHA recognition

• captcha-breaking
• keras-tutorials
• deep-learning
• keras

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

Implementing a Neural Network from Scratch

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Instructional notebooks on music information retrieval.

• ipython-notebook
• music-information-retrieval
• python
• machine-learning

CatBoost tutorials repository

• catboost
• tutorials
• ipython-notebook
• ipython

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

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

Data Hacking Project