Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Paper-Implementations
Use PyTorch to implement some classic frameworks
reward-learning-rl
[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering
Data-science-best-resources
Carefully curated resource links for data science in one place
Deep-learning-with-Python
Deep learning codes and projects using Python
Julia-data-science
Data science and numerical computing with Julia
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
DANCING-AI
LSTM network trained on dance videos using audio( songs ) as input and human pose estimated coordinates as output. Trained LSTM models are then used to generate dance videos using songs as input.
PixelLib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
deep-rules
Ten Quick Tips for Deep Learning in Biology
einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)