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followers: 13.0 following: 17.0 repos: 20.0 gists: 0.0

Name: Zhecheng Li

Type: User

Bio: You can be a master, don't wait for luck.

Location: California, United States

Zhecheng Li's Projects

custom-chatgpt

Using the question-answer dataset on Hugging Face to fine-tune ChatGPT and compare the fine-tuned model with original ChatGPT.

graph-neural-network

Introductory code for basic graph neural networks.

gui-python

Simple Python frontend mini-program, mainly including the use of libraries such as Streamlit, etc. Help understand how to use various APIs.

image-generation

Basic models and their code in the field of image generation.

kaggle-detect_sleep_states

Predicting changes in sleep states based on sleep monitoring data. (Mainly PrecTime model)

kaggle-linking_writing_processes_to_writing_quality

Predicting writing quality based on data statistics of the writing process. The key lies in feature engineering and tree models.

kaggle-llm-detect_ai_generated_text

Detect whether the text is AI-generated by training a new tokenizer and combining it with tree classification models or by training language models on a large dataset of human & AI-generated texts.

kaggle-llm_prompt_recovery

LLMs are commonly used to rewrite or make stylistic changes to text. The goal is to recover the LLM prompt that was used to transform a given text.

kaggle-llm_science_exam

Implementing science-related multiple-choice question answering based on LLMs and RAG.

Implement named entity recognition (NER) using regex and fine-tuned LLM, with a total of 15 categories. The ultimate goal is to apply the model to detect personally identifiable information (PII) in student writing.

kaggle-the_polytope_permutation_puzzle

Using reinforcement learning and recursive methods to solve three types of puzzles.

machine-learning-basic

Introductory code for machine learning, mainly derived from 'Dive into Deep Learning' and mini-courses on YouTube.

multimodal

Basic implementation code for multimodal models and some applications based on them

nlp-tool

Connecting database and large language model applications, mainly used for semantic search and RAG.

rag-chatbot

A basic application using langchain, streamlit, and large language models to build a system for Retrieval-Augmented Generation (RAG) based on documents, also includes how to use Groq and deploy your own applications.

reinforcement-learning

Basic code for reinforcement learning and small programs.

seq2seq-translation

Implementing translation tasks using the seq2seq approach, the necessary step of understanding temporal models.

simple-chatbot

A very simple chatbot that does not use the transformer architecture.

transformer-compilation

Implementation of various transformer architecture models, application, and fine-tuning code.

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Zhecheng Li's Projects

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