TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
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TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automatic extraction of relevant features from time series:
TensorFlow examples
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Flax is a neural network library for JAX that is designed for flexibility.
The fastest way to create an HTML app
A course in reinforcement learning in the wild
From the basics to slightly more interesting applications of Tensorflow
Create delightful software with Jupyter Notebooks
links to conference publications in graph-based deep learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Lectures on scientific computing with python, as IPython notebooks.
Bayesian optimization in PyTorch
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Quantitative analysis, strategies and backtests
The repository host gives no description.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.