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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
🧑🏫 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, ... 🧠
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Machine Learning Engineering Open Book
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
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.
Ongoing research training transformer models at scale
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
This repository contains demos I made with the Transformers library by HuggingFace.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A PyTorch-based Speech Toolkit
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Open source real-time translation app for Android that runs locally