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A high-throughput and memory-efficient inference and serving engine for LLMs
A generative speech model for daily dialogue.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A Collection of Variational Autoencoders (VAE) in PyTorch.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Bringing BERT into modernity via both architecture changes and scaling
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.