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Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
PyTorch implementations of Generative Adversarial Networks.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A python library for user-friendly forecasting and anomaly detection on time series.
Torchreid: Deep learning person re-identification in PyTorch.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
[CVPR'24] GraphDreamer: a novel framework of generating compositional 3D scenes from scene graphs.
Official repository for our NeurIPS 2023 paper "Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense" (https://arxiv.org/abs/2303.13408).
Instructions for setting up a SLURM cluster using Ubuntu 18.04.3 with GPUs.
PyTorch implementation of Superpixel Sampling Networks
The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
Code for "Speaker Clustering using Dominant Sets", ICPR 2018
Python scripts to help ACs with OpenReview
Official code for the OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation - ACVR Workshop at ECCV'24