IceCreammm

IceCreammm's Stars

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook11.8k90381.5k

• kyrolabs/awesome-langchain

  😎 Awesome list of tools and projects with the awesome LangChain framework

  7.6k14311523

• liaokongVFX/LangChain-Chinese-Getting-Started-Guide

  LangChain 的中文入门教程

  7.4k4452595

• huggingface/notebooks

  Notebooks using the Hugging Face libraries 🤗

  Language:Jupyter Notebook3.6k721671.5k

• hwchase17/langchain-hub

  Language:Python3.2k7132266

• stanford-futuredata/ColBERT

  ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

  Language:Python3k42265387

• tradytics/eiten

  Statistical and Algorithmic Investing Strategies for Everyone

  Language:Python2.8k9722327

• zyds/transformers-code

  手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

  Language:Jupyter Notebook2k1712294

• tradytics/surpriver

  Find big moving stocks before they move using machine learning and anomaly detection

  Language:Python1.8k8817330

• aws-samples/amazon-bedrock-workshop

  This is a workshop designed for Amazon Bedrock a foundational model service.

  Language:Jupyter Notebook1.5k41113629

• ProsusAI/finBERT

  Financial Sentiment Analysis with BERT

  Language:Jupyter Notebook1.4k3562416

• deeplearningzerotoall/PyTorch

  Deep Learning Zero to All - Pytorch

  Language:Jupyter Notebook1k29221.3k

• pixegami/langchain-rag-tutorial

  A simple Langchain RAG application.

  Language:Python508105277

• sugarforever/wtf-langchain

  Language:Jupyter Notebook28062139

• eli5-org/eli5

  A library for debugging/inspecting machine learning classifiers and explaining their predictions

  Language:Jupyter Notebook26051642

• curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI

  Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

  Language:Python2004459

• archd3sai/Customer-Survival-Analysis-and-Churn-Prediction

  In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

  Language:Jupyter Notebook1813167

• rabbitmetrics/langchain-13-min

  Language:Jupyter Notebook18022127

• DeNederlandscheBank/name_matching

  Language:Python13471944

• avrabyt/RAG-Chatbot

  RAG enabled Chatbots using LangChain and Databutton

  Language:Python1274050

• ConnectAI-E/LangChain-Tutior

  ⛓ LangChain 入门指南，配套吴恩达老师deeplearning.ai课程 😎复现语言：Python、NodeJs、Golang

  Language:Jupyter Notebook1242212

• mirabdullahyaser/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit

  Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.

  Language:Python1023453

• langchain-ai/langserve-launch-example

  An example application built with LangChain CLI and LangServe

  Language:Python746121

• sugarforever/Langchain-Conversational-Chatbot

  Language:Jupyter Notebook662121

• lalanikarim/ai-chatbot-rag

  Streamlit + Langchain + LlamaCPP + Mistral + Rag

  Language:Python331112

• ryancburke/DNN_survival

  Comparing DeepHit and DeepSurv models on the SUPPORT dataset

  Language:Jupyter Notebook16102

• agsourav/Learning-Langchain

  The notebooks and scripts in this repository are created for learning purposes. Use this repo as a supplement to the video lectures provided on "datahat" youtube channel

  Language:Jupyter Notebook144

• pnmeka/langchain_RAG

  Using langchain module to generate RAG prompt for open AI

  Language:Python12201

• di37/stock-price-checker-openai-langchain

  This project is created just to demonstrate how functions can be used for creating multi tool agent. All credits to Sam Witteveen.

  Language:Python91

• sugarforever/LangChain-Awesome-Prompt-Templates

  Language:Jupyter Notebook8204