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。
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
TensorFlow Tutorials with YouTube Videos
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.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Open-source demos hosted on Dash Gallery
A library for debugging/inspecting machine learning classifiers and explaining their predictions
TranslatedCAPTCHA recognition
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Natural Gradient Boosting for Probabilistic Prediction
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
CatBoost tutorials repository
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
python partial dependence plot toolbox
Code for "High-Precision Model-Agnostic Explanations" paper
Segment Anything for Microscopy
A knowledge graph and a set of tools for drug repurposing
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.