#计算机科学# 59 篇深度学习论文的实现,并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠
#大语言模型# Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
翻译 - 在Pytorch中实现视觉变压器,这是仅使用一个变压器编码器即可在视觉分类中实现SOTA的简单方法
#自然语言处理# Haystack 是一个开源 NLP 框架,利用预训练的 Transformer 模型。 帮组开发者能快速实现一个生产级的语义搜索、问答、摘要和文档排名的NLP应用
#大语言模型# 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
#搜索# PaddleNLP 2.0是飞桨生态的文本领域核心库,具备易用的文本领域API,多场景的应用示例、和高性能分布式训练三大特点,旨在提升开发者文本领域的开发效率,并提供基于飞桨2.0核心框架的NLP任务最佳实践。
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
#大语言模型# Machine Learning Engineering Open Book
Ongoing research training transformer models at scale
翻译 - 正在进行的大规模研究转换语言模型的研究,包括:BERT&GPT-2
This repository contains demos I made with the Transformers library by HuggingFace.
翻译 - 这个存储库包含我用 HuggingFace 的 Transformers 库制作的演示。
#自然语言处理# 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
翻译 - optimized针对研究和生产进行了优化的快速最先进的分词器
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
翻译 - 使用Mesh-tensorflow库,可并行执行模型GPT2和类似GPT3的模型,并能够扩展到完整的GPT3尺寸(甚至可能更多!)。
#计算机科学# Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
翻译 - 基于DeepSpeed库的GPU上类似于GPT-3的模型并行模型的实现。设计为能够训练成千上亿个参数或更大参数的模型。
#大语言模型# Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such ...
Open source real-time translation app for Android that runs locally
#自然语言处理# Leveraging BERT and c-TF-IDF to create easily interpretable topics.
翻译 - 利用BERT和基于类的TF-IDF创建易于理解的主题。
#计算机科学# Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
翻译 - 在Pytorch中实现/复制OpenAI,OpenAI的文本到图像转换器
#自然语言处理# This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
OpenChat: Advancing Open-source Language Models with Imperfect Data