machine-learning-research

There are 2 repositories under machine-learning-research topic.

awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
cart catboost classification-model classification-trees classifier decision-tree decision-tree-classifier decision-tree-learning decision-tree-model ensemble-learning gradient-boosting gradient-boosting-machine lightgbm machine-learning machine-learning-research random-forest regression-tree statistical-learning tree-ensemble xgboost
Language:Python 2340
crunchiness / lernd
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
deepmind explainability explainable-ai explainable-ml forward-chaining ilp interpretability machine-learning machine-learning-research neuro-symbolic-learning statistical-relational-learning
Language:Python 23
techandy42 / FinancialBERT
Stock price prediction model built using BERT and regression model trained on textual financial news data.
bert machine-learning-research stock-price-prediction
Language:Jupyter Notebook 4
deep_classiflie
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"
machine-learning fact-checking nlp transformer-architecture pytorch captum interpretability ml data-engineering deep-learning disinformation bokeh machine-learning-research ml-framework umap twitter-bot research-project albert machine-learning-analysis database
Language:Python 3
zaaachos / Thesis-Diagnostic-Captioning
B.Sc. Thesis Deep Learning & NLP research on Medical Image Captioning
biomedical-image-processing biomedical-research deep-learning keras-tensorflow neural-networks pytorch sota-model cnn bert-models machine-learning machine-learning-research nlp nltk publication-repository transformers
Language:Python 3
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.
machine-learning-research research-reproducibility
2
deep_classiflie_db
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.
machine-learning fact-checking nlp transformer-architecture pytorch captum interpretability ml data-engineering deep-learning disinformation bokeh machine-learning-research ml-framework umap twitter-bot research-project albert machine-learning-analysis database
Language:Jupyter Notebook 1

machine-learning-research

benedekrozemberczki / awesome-decision-tree-papers

crunchiness / lernd

techandy42 / FinancialBERT

speediedan / deep_classiflie

zaaachos / Thesis-Diagnostic-Captioning

sutd-visual-computing-group / research-reproducibility-guide-book

speediedan / deep_classiflie_db