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fact_triple_extraction

使用句法依存分析抽取事实三元组

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.

fastgpt

FastGPT is a knowledge-based question answering system based on the LLM language model, providing out-of-the-box capabilities for data processing, model invocation, and more. It also allows for complex question answering scenarios through visual workflow orchestration using Flow!

fastllm

纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llama, moss基座，手机端流畅运行

fate-llm

Federated Learning for LLMs.

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fengshenbang-lm

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

finance

financechatglm

SMP 2023 ChatGLM金融大模型挑战赛 60 分baseline思路介绍

finglm

FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

firecrawl

🔥 Turn entire websites into LLM-ready markdown

firefly

Firefly(流萤): 中文对话式大语言模型(全量微调+QLoRA)

flamby

This repository gathers the materials of the FL-datasets public initiative.

flash-attention

Fast and memory-efficient exact attention

flowise

Drag & drop UI to build your customized LLM flow

fooocus

Focus on prompting and generating

front_ends

funclip

Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

gptbook

llms应用：用ChatGPT写书

gpteam

GPTeam: An open-source multi-agent simulation

gradio

Create UIs for your machine learning model in Python in 3 minutes

hands_on_impl_of_ml_dl_python

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 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

haystack

:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

holoviews

画图，python可视化。With Holoviews, your data visualizes itself.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

how_to_make_a_text_summarizer

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube