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121 search results found

machine learning

Language Modeling ⭐ 9

Language modeling on the Penn Treebank (PTB) corpus using a trigram model with linear interpolation, a neural probabilistic language model, and a regularized LSTM.

Deep Learning Paper ⭐ 9

These are papers that I read and reviewed related to NLP, CV, and Deep Learning 😉 You can check paper links and my reviews 😊

Unit Scaling Demo ⭐ 8

Unit Scaling demo and experimentation code

Code for GenAug: Data Augmentation for Finetuning Text Generators.

Bert_text_classifier ⭐ 8

Text Classification with BERT

Interpret Lm Knowledge ⭐ 8

Extracting knowledge graphs from language models as a diagnostic benchmark of model performance.

Rusentne Evaluation ⭐ 8

Named Entity Oriented Sentiment Analysis Task for mass-media texts

Lm Steganography ⭐ 7

Steganographic text via language models

Text Summarizer Using Bert ⭐ 7

Text summarization with BERT using bert-extractive-summarizer

Minichatgpt ⭐ 7

annotated tutorial of the huggingface TRL repo for reinforcement learning from human feedback connecting equations from PPO and GAE to the lines of code in the pytorch implementation

Neural_language_model_bangla ⭐ 7

A neural language model trained from the bangla wiki corpus

Deepitalian ⭐ 7

Bertsentimentclassification ⭐ 7

BERT Sentiment Classification on the Large Movie Review Dataset.

Image Caption Pytorch ⭐ 7

image captioning with flikr8k dataset

Staged Training ⭐ 7

Staged Training for Transformer Language Models

Tigerscore ⭐ 7

Official Code Repo for Paper "TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks"

Something in the middle of Karpathy's mingpt model and video lectures, BabyGPT is an easy to use model on a much smaller scale (16 and 256 out channels , 5 heads, fine tuned). To be made useful on low powered devices.

Issueslanguagemodel ⭐ 6

A Language model trained on a large corpus of GitHub Issues

Bert Jittor ⭐ 6

A BERT model built with Jittor | 计图版 BERT 模型 | 计图 NLP 教程

Fast Ai Study ⭐ 6

fast ai study 아카이빙을 위해 만들어졌습니다

hULMonA (حلمنا): tHe first Universal Language MOdel iN Arabic

Visual Story Generation Based On Emotional And Keyword Scheme ⭐ 6

We designed an end-to-end framework that encourage interactive narrative experience based on keyword control and image generation.

Tree Prompt ⭐ 6

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

Attention Based Clinical Note Summarization ⭐ 6

A new approach to extract clinical summaries from discharge notes

Ai_story_scale ⭐ 5

The AI story scale (AISS): A human rating scale for texts written with generative language models.

Master Thesis Multilingual Longformer ⭐ 5

Master thesis with code investigating methods for incorporating long-context reasoning in low-resource languages, without the need to pre-train from scratch. We investigated if multilingual models could inherit these properties by making it an Efficient Transformer (s.a. the Longformer architecture).

Hierarchical Language Modeling ⭐ 5

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Implementation of R-BERT (Wu et al. 2019) model from the paper 'Enriching Pre-trained Language Model with Entity Information for Relation Classification'

Neural Transcriber ⭐ 5

Mine and Akuan's neural + WFST transcriber

Atsc_prompts ⭐ 5

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

Language Model Lstm ⭐ 5

English and Nepali language model on poems.

Llm Math Education ⭐ 5

Retrieval augmented generation for middle-school math question answering and hint generation

Reformer Language Model ⭐ 5

Reformer Language Model

Bloom Fine Tuning ⭐ 5

Tokmangan ⭐ 5

codes for TokenManipulationGAN

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