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Reading list for research topics in embodied vision
[ICCV 2023 Oral]: Scaling Data Generation in Vision-and-Language Navigation
Ideas and thoughts about the fascinating Vision-and-Language Navigation
A curated list for vision-and-language navigation. ACL 2022 paper "Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions"
A curated list of awesome Vision-and-Language Navigation(VLN) resources (continually updated)
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
[ICASSP 2024] Official code for Slowfast Network for Continuous Sign Language Recognition
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
简洁的模板页面，自适应移动端，比较适合做个人网站首页的静态资源，比较简洁，方便自定义页面中的样式和脚本。
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Reading list for Awesome Sentiment Analysis papers
Repository with all what is necessary for sentiment analysis and related areas
📖 收集NLP领域相关的数据集、论文、开源实现，尤其是情感分析、情绪原因识别、评价对象和评价词抽取方面。
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
The source code for "STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction".
Sign Language Translation for Instructional Videos - CVPR WiCV 2023
提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手
Trans DOTA OBB format(poly format) to YOLO format.
ACSTNet: An improved YOLO X method for small object detection with pixel-level attention and parallel Swin Transformer
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…