TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-09-16 02:39:57 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Обновлено 2024-09-13 00:12:52 +03:00
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Обновлено 2024-09-12 18:44:27 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-09-03 14:16:21 +03:00
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
Обновлено 2024-08-07 19:17:23 +03:00
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Обновлено 2024-07-25 14:07:42 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Обновлено 2024-07-03 13:54:08 +03:00
Muzic: Music Understanding and Generation with Artificial Intelligence
Обновлено 2024-06-10 14:27:00 +03:00
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Обновлено 2024-05-28 09:22:34 +03:00
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning
Обновлено 2024-03-21 12:43:17 +03:00
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Обновлено 2024-01-09 18:03:18 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Обновлено 2023-12-22 22:29:11 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Обновлено 2023-07-28 08:11:02 +03:00
[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Обновлено 2023-07-25 17:21:55 +03:00
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Обновлено 2023-07-07 00:28:52 +03:00
Recipe prediction model from emojis
Обновлено 2023-06-12 22:30:52 +03:00
Improving Generalization via Scalable Neighborhood Component Analysis
Обновлено 2023-06-12 22:02:13 +03:00
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Обновлено 2023-06-12 21:22:32 +03:00
Website for the TREC Deep Learning Track 2019
Обновлено 2023-06-12 21:21:58 +03:00
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Обновлено 2023-04-19 00:04:59 +03:00
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Обновлено 2022-12-07 08:35:12 +03:00
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Обновлено 2022-11-28 22:11:04 +03:00
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Обновлено 2022-06-22 07:21:09 +03:00
Runtime for deep learning workload
Обновлено 2022-05-24 10:57:43 +03:00
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Обновлено 2022-04-13 20:50:31 +03:00