jiangxinyang227

bert-for-task

dkt

deep knowledge tracing / tensorflow implement

few_shot_learning

classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network

GEC-reaching-human-level

论文REACHING HUMAN-LEVEL PERFORMANCE IN AUTOMATIC GRAMMATICAL ERROR CORRECTION: AN EMPIRICAL STUDY的tensorflow代码实现

irt

mcmc implement

LLM-tuning

llama，chatglm 等模型的微调

model_quantization

NLP-Project

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

nlp_tflite

nlp模型转tensorflow lite，并使用c++调用

textClassifier

tensorflow implementation

jiangxinyang227/textClassifier

tensorflow implementation

jiangxinyang227/NLP-Project

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

jiangxinyang227/bert-for-task

jiangxinyang227/few_shot_learning

classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network

jiangxinyang227/LLM-tuning

llama，chatglm 等模型的微调

jiangxinyang227/dkt

deep knowledge tracing / tensorflow implement

jiangxinyang227/nlp_tflite

nlp模型转tensorflow lite，并使用c++调用

jiangxinyang227/model_quantization

jiangxinyang227/GEC-reaching-human-level

论文REACHING HUMAN-LEVEL PERFORMANCE IN AUTOMATIC GRAMMATICAL ERROR CORRECTION: AN EMPIRICAL STUDY的tensorflow代码实现

jiangxinyang227/irt

mcmc implement

jiangxinyang227/leetcode

jiangxinyang227/MLInAction-

jiangxinyang227/reinforcement-learning

reinforcement learning classical algorithm implement