Popular GitHub Repositories for Attention We

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

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We write your reusable computer vision tools. ?

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

FinGPT: Open-Source Financial Large Language Models! Revolutionize ? We release the trained model on HuggingFace.

Machine learning, in numpy

Natural Language Processing Tutorial for Deep Learning Researchers

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through our open source R&D automation tool RD-Agent, which lets AI drive data-driven AI.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A concise but complete full-attention transformer with a set of promising experimental features from various papers