transfer-learning-nlp

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Here are 11 public repositories matching this topic...

dudeperf3ct / DL_Notebooks

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This repo contains all the notebooks mentioned in blog.

Updated Jan 26, 2020
Jupyter Notebook

allenai / EmbeddingRecycling

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Embedding Recycling for Language models

nlp machine-learning natural-language-processing transfer-learning-nlp efficient-nlp

Updated Jul 11, 2023
Python

safakkbilici / Academic-Paper-Title-Recommendation

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Supervised text summarization (title generation/recommendation) based on academic paper abstracts, with Seq2Seq LSTM and T5.

crawler natural-language-processing transformer lstm summarization seq2seq transfer-learning arxiv transfer-learning-nlp t5 arxiv-dataset arxiv-crawler

Updated Apr 1, 2021
Python

dudeperf3ct / fellowship.ai-challenges

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This repo contains implementations of the challenges from fellowship.ai. For more, visit here.

transfer-learning twitter-sentiment-analysis maml food-101 few-shot-learning transfer-learning-nlp

Updated Jul 11, 2019
Jupyter Notebook

ShotokanOSS / ggufForge

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A comprehensive toolkit for training and running lightweight adapters for GGUF-based language models (ERNIE, Llama, Mistral, Phi-3, etc.) without modifying the base model.

pytorch transfer-learning efficient-training transfer-learning-nlp efficient-training-and-inference language-model-adapter llama-cpp local-llm llama-cpp-python gguf llm-optimization transfer-learning-and-fine-tuning local-llm-gguf low-resource-finetuning quantization-recovery logit-correction cost-efficient-ai

Updated Feb 23, 2026
Python

amrohendawi / unraveling-bert-article

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In this article, the factors affecting BERT's transferability is explained through visualizations

visualization css python heroku jquery plotly transformers dash transfer-learning bert explainable-ai xai transfer-learning-nlp

Updated Feb 16, 2025
HTML

Narendra8767 / Deep-Learning-Hands-on-Code-Practice-Repository

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This repository contains my end-to-end hands-on Deep Learning learning journey, where I implemented core deep learning concepts from scratch and using Keras/TensorFlow. Each notebook focuses on a single concept, building intuition through experiments, visualizations, and practical implementations.

deep-learning neural-networks tensorflow-keras transfer-learning-nlp cnn-rnn