Topic: "machine-learning-research"
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Language: Python - Size: 870 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 2,398 - Forks: 342
crunchiness/lernd
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
Language: Python - Size: 162 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 4
speediedan/deep_classiflie
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"
Language: Python - Size: 204 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
salfaris/financial-fraud-detection
Financial transactions fraud detection using ML (research, experimentation and deployment via Google Cloud)
Language: Python - Size: 73 MB - Last synced at: 28 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
techandy42/FinancialBERT
Stock price prediction model built using BERT and regression model trained on textual financial news data.
Language: Jupyter Notebook - Size: 9.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
sutd-visual-computing-group/research-reproducibility-guide-book
This Guide book is written with the intention of helping researchers and engineers working in machine learning domains to publish reproducible research.
Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
speediedan/deep_classiflie_db
Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its analytical and dataset generation functionality but the data system is currently maintained as a separate repository here to maximize architectural flexibility. Depending on how Deep Classiflie evolves (e.g. as it supports distributed data stores etc.), it may make more sense to integrate deep_classiflie_db back into deep_classiflie. Currently, deep_classiflie_db releases are synchronized to deep_classiflie releases. To learn more, visit deepclassiflie.org.
Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 23 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0