TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
- tensorflow
- tensorflow-examples
- tensorflow-tutorials
- tensorflow-2
TensorFlow documentation
Code for Tensorflow Machine Learning Cookbook
A scikit-learn compatible neural network library that wraps PyTorch
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Implement a reasoning LLM in PyTorch from scratch, step by step
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Notebooks for learning deep learning
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Book about interpretable machine learning
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Repo for the Deep Reinforcement Learning Nanodegree program
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
- human-pose-estimation
- realtime
- caffe
- human-behavior-understanding
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
The "Python Machine Learning (3rd edition)" book code repository
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learn python3 in one picture.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science