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The ApolloScape Open Dataset for Autonomous Driving and its Application.
Papers from the computer science community to read and discuss.
A playbook for systematically maximizing the performance of deep learning models.
A Survey on multimodal learning research.
This repository contains demos I made with the Transformers library by HuggingFace.
Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系,成为中文AIGC和认知智能的基础设施。
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。
🔆 📝 A reading list focused on Multimodal Emotion Recognition (MER) 👂👄 👀 💬
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things Dev…
Multilingual Sentence & Image Embeddings with BERT
Jupyter notebooks for the Natural Language Processing with Transformers book
The fastai book, published as Jupyter Notebooks
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
A list of multi-task learning papers and projects.
Library for Textless Spoken Language Processing
Towards hot directions in industrial end to end speech recognition
A 10000+ hours dataset for Chinese speech recognition
Production First and Production Ready End-to-End Speech Recognition Toolkit
A small package to create visualizations of PyTorch execution graphs
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.