Pinned Repositories
AnalyzeAccountability
anjapago.github.io
automl_benchmark
Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and libraries.
awesome-interpretable-machine-learning
awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
baseline
Deep-Learning Model Exploration and Development for NLP
born
Generate Borderline Noise for Classification Problems
CarletonKaggle
LogisiticRegressionClassifier
Implementation of logistic regression with gradient descent.
ocp
anjapago's Repositories
anjapago/ocp
anjapago/AnalyzeAccountability
anjapago/anjapago.github.io
anjapago/awesome-interpretable-machine-learning
anjapago/awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
anjapago/baseline
Deep-Learning Model Exploration and Development for NLP
anjapago/CarletonKaggle
anjapago/CleanML
A Benchmark for Joint Data Cleaning and Machine Learning
anjapago/comparatively-finetuning-bert
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
anjapago/dasheda
anjapago/data-downtime-challenge
anjapago/DataShapley
Data Shapley: Equitable Valuation of Data for Machine Learning
anjapago/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
anjapago/GooreGame
anjapago/interpretable-ml-book
Book about interpretable machine learning
anjapago/lightex
A Flexible, Modular ML Experiment Framework
anjapago/machine-learning-scripts
Collection of scripts and tools related to machine learning
anjapago/markovchains
anjapago/Multi-Label-Text-classification-Using-BERT
Multi Label text classification using bert
anjapago/pandas_exercises
Practice your pandas skills!
anjapago/pycaret-streamlit-google
Deployment of PyCaret pipeline and Streamlit app on GCP Kubernetes
anjapago/pyfn
A python module to process data for Frame Semantic Parsing
anjapago/pytorch-transformers-classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
anjapago/pyTsetlinMachine
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing
anjapago/QG-Net
code for QG-Net: A Data-Driven Question Generation Model for Educational Content
anjapago/QG-Net2
anjapago/qtlcharts
R/qtlcharts: An R package for interactive QTL graphics
anjapago/simpletransformers
Transformers made simple with training, evaluation, and prediction possible with one line each. Built on top of the Hugging Face Transformer library.
anjapago/test-pages
anjapago/TextUnderstandingTsetlinMachine
Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications