Pinned Repositories
Advances-in-Financial-Machine-Learning
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
Chatbot
city_geojson
**城市geojson列表
comet-commonsense-v1
conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations
Huggingface_Toturials
bert-base-chinese example
JGibbLabeledLDA
Labeled LDA in Java (based on JGibbLDA)
KdConv
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
lihongli.github.io
lidayuls's Repositories
lidayuls/Huggingface_Toturials
bert-base-chinese example
lidayuls/Advances-in-Financial-Machine-Learning
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
lidayuls/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
lidayuls/Chatbot
lidayuls/city_geojson
**城市geojson列表
lidayuls/comet-commonsense-v1
lidayuls/conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations
lidayuls/JGibbLabeledLDA
Labeled LDA in Java (based on JGibbLDA)
lidayuls/KdConv
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
lidayuls/lihongli.github.io
lidayuls/MELD
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
lidayuls/ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
lidayuls/mltool4j
Automatically exported from code.google.com/p/mltool4j
lidayuls/proxy_pool
Python ProxyPool for web spider
lidayuls/sentence2vec
Tools for mapping a sentence with arbitrary length to vector space
lidayuls/StockSentCN
lidayuls/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
lidayuls/unsloth
Finetune Llama 3, Mistral & Gemma LLMs 2-5x faster with 80% less memory
lidayuls/word2vec
Automatically exported from code.google.com/p/word2vec