AI
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Given clinical parameters about a patient, can we predict whether or not they have heart disease?
🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Model summary in PyTorch similar to `model.summary()` in Keras
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
The fastai book, published as Jupyter Notebooks
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Projects and awesome list for all Data Science fields
A playbook for systematically maximizing the performance of deep learning models.
This project is to predict users’ attention and cognitive load through EEG signals during their reading
Code repository for O'Reilly book
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🔥Highlighting the top ML papers every week.
A journey into Convolutional Neural Network visualization
Refine high-quality datasets and visual AI models
A high-level programming language for using computer vision.
Time series forecasting with machine learning models
Generative Agents: Interactive Simulacra of Human Behavior
MagicEdit: High-Fidelity Temporally Coherent Video Editing
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A natural language interface for computers
Neural network visualization toolkit for tf.keras
🙄 Difficult algorithm, Simple code.