ThilinaRajapakse

BERT_binary_text_classification

Accompanying code for the Medium article

dense-retrieval

low-resource-language-models

pseudoscience-detection-irl

pytorch-pretrained-BERT

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

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.

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

ThilinaRajapakse/simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

ThilinaRajapakse/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.

ThilinaRajapakse/BERT_binary_text_classification

Accompanying code for the Medium article

ThilinaRajapakse/low-resource-language-models

ThilinaRajapakse/pseudoscience-detection-irl

ThilinaRajapakse/pytorch-pretrained-BERT

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

ThilinaRajapakse/dense-retrieval

ThilinaRajapakse/negative-sampling-repro

Code for the paper "Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting"

ThilinaRajapakse/Pseudoscience-Dataset

ThilinaRajapakse/all-contributors

✨ Recognize all contributors, not just the ones who push code ✨

ThilinaRajapakse/apiit-cc-app

ThilinaRajapakse/apiit-cc-compute

ThilinaRajapakse/apiit-dsa

ThilinaRajapakse/apiit-python

ThilinaRajapakse/CS105_Solutions

Solutions to the Labsheets given in CS105 course at University of Peradeniya, Faculty of Science, in 2018.

ThilinaRajapakse/data-structures-apiit

ThilinaRajapakse/debunk-api

ThilinaRajapakse/debunk-app

ThilinaRajapakse/Evaluation

ThilinaRajapakse/gitignore

A collection of useful .gitignore templates

ThilinaRajapakse/google-research

Google AI Research

ThilinaRajapakse/Gosto

ThilinaRajapakse/GraphicsApp

ThilinaRajapakse/it87

Created from my local clone of the out-of-tree it87 driver

ThilinaRajapakse/minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

ThilinaRajapakse/natural-questions

Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question answering systems.

ThilinaRajapakse/python-course

ThilinaRajapakse/streamlit-app

ThilinaRajapakse/TCN

Sequence modeling benchmarks and temporal convolutional networks

ThilinaRajapakse/ThilinaRajapakse