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Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Making large AI models cheaper, faster and more accessible
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Python implementations of contextual bandits algorithms
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
State-of-the-Art Embeddings, Retrieval, and Reranking
ACL2020 Tutorial: Open-Domain Question Answering
Dialogue State Tracking (DST) Papers, Datasets, Resources π€©
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
TextAttack π is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Implementation of additional Masked Language Model (MLM) pretraining for BERT
Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.
Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Code for paper Fine-tune BERT for Extractive Summarization
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
π©βπ»π¨βπ» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
cross-modal model between audio(MFCC) and text(KoBERT)