sunningilya7 Goto Github PK

academic_gpt

agentbasedmodelingproject

This is the agent based modeling Project for the course of the Agent Based Modeling and Digital Twins taught by Professor Anand Rao

agents_sql_bi_system

We hope to establish a system which has the ability that the user enters query prompt information on the terminal interface, completes the SQL query operation through the SQL generated by LLM, and then based on the results, LLM decides in what form to display the query results, and generates the corresponding K-V pair of parameter information.

ai-engineering-

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

amazon-sagemaker-feature-store-end-to-end-workshop

an-ai-chatbot-fine-tuned-for-medical-queries

attention-rnn-multi-touch-attribution

Attention-RNN来做多触点归因模型

attribution_by_attention_rnn

causal_inference_psm-the-impact-of-watching-live-streams-on-conversion-rates

The impact of watching live streams on conversion rates

causal_inference_uplift

double-machine-learning

DML is a method for causal modeling based on observational data.

genaisummit2024

Hands-on With NVIDIA NIM Inference Microservices

graphrag-knowledge-graph-large-model-implemented-by-langchain

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

lora_weights

Lora_weights for the fine-tuned llama model

lstm_xgboost_prophet_neuralprophet

In the real life, sometimes we need to predict the future traffics/ sales of the product/ DAU( daily active user), so it will give us some ideas of the inventories and specific activities

mi-gpt

Connect the small Mi speaker to ChatGPT and Doubao to transform it into your own voice assistant.

next-gen-rag

Advancing the next generation of Retrieval Augmented Generation (RAG): A dynamic exploration of RAG technology's evolving landscape. This repository is the go-to resource for state-of-the-art developments, conceptual advancements, and the future trajectory of AI-driven information retrieval and generation.

predicting-customer-churn-using-survival-analysis-models

project4task2

pymatch

rag_demo

RAG

sparrowrecsys

A Deep Learning Recommender System

sunningilya7