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amazon-kendra-langchain-cn

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

bert-nmt

chatglm_lora_multi-gpu

chatglm多gpu用deepspeed和

chatllm-research

ermer

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

finetuning-and-deploying-llama-on-sagemaker

Use the two different methods (deepspeed and SageMaker model parallelism library) to fine tune llama model on Sagemaker. Then deploy the fine tuned llama on Sagemaker with server side batch.

gpu_poor

Calculate GPU memory requirement & breakdown for training/inference of LLM models. Supports ggml/bnb quantization

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

langchain-chatglm

langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识的 ChatGLM 问答

maxp_baseline_model

ner-bert-pytorch

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

notebooks

Notebooks using the Hugging Face libraries 🤗

pcluster-poc

private-llm-qa-bot

proj4js

JavaScript library to transform coordinates from one coordinate system to another, including datum transformations

pycharm-guide

PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

qbot

[🔥updating ...] 自动量化交易机器人 Qbot is an AI-oriented quantitative investment platform, which aims to realize the potential, empower AI technologies in quantitative investment. https://ufund-me.github.io/Qbot :news: qbot-mini: https://github.com/Charmve/iQuant

rag-using-langchain-amazon-bedrock-and-opensearch

RAG with langchain using Amazon Bedrock and Amazon OpenSearch

semantic-search-with-amazon-opensearch

smalltalk

A tinystruct-based chat module which integrated with @OpenAI ChatGPT. @tinystruct

so-vits-svc

SoftVC VITS Singing Voice Conversion

t5-pegasus-textsummary

使用谷歌2020pegasus模型进行中文文档摘要

triton-inference-server-on-kubernetes

video-de-html5