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.
machine-learning
deep-learning
pytorch
gpu
compression
billion-parameters
data-parallelism
inference
mixture-of-experts
model-parallelism
pipeline-parallelism
trillion-parameters
zero
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.
machine-learning
deep-learning
python
platform
research
finance
algorithmic-trading
auto-quant
fintech
investment
paper
quant
quant-dataset
quant-models
quantitative-finance
quantitative-trading
research-paper
stock-data
Обновлено 2024-09-12 18:44:27 +03:00
Best Practices on Recommendation Systems
azure
microsoft
machine-learning
python
deep-learning
kubernetes
data-science
artificial-intelligence
jupyter-notebook
tutorial
operationalization
ranking
rating
recommendation
recommendation-algorithm
recommendation-engine
recommendation-system
recommender
Обновлено 2024-09-11 11:50:56 +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.
machine-learning
deep-learning
nlp
natural-language-processing
privacy
ner
transformers
pii
named-entity-recognition
spacy
flair
Обновлено 2024-08-07 19:17:23 +03:00
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
deep-learning
computer-vision
pytorch
generative-adversarial-network
image-manipulation
gans
cocosnet
image-synthesis
image-translation
image-generation
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.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
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.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
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.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
Обновлено 2023-07-28 08:11:02 +03:00
Lite Self-Training
Обновлено 2023-07-25 20:31:38 +03:00
[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
deep-learning
natural-language-processing
representation-learning
transformers
language-model
natural-language-understanding
pretraining
contrastive-learning
pretrained-language-model
Обновлено 2023-07-25 17:21:55 +03:00
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
deep-learning
pytorch
natural-language-processing
artificial-intelligence
dnn
question-answering
model-compression
text-classification
knowledge-distillation
text-matching
qna
sequence-labeling
Обновлено 2023-07-22 06:07:54 +03:00
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
deep-learning
computer-vision
neural-network
semantic-segmentation
semi-supervised-learning
domain-adaptation
pseudo-label
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
deep-learning
computer-vision
transfer-learning
visual-recognition
eccv-2018
few-shot-learning
nearest-neighbors
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
deep-learning
automl
neural-architecture-search
image-classification
cifar-100
cifar10
deep-learning-algorithms
imagenet
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
Time Series Forecasting Best Practices & Examples
machine-learning
python
deep-learning
artificial-intelligence
r
best-practices
jupyter-notebook
automl
lightgbm
hyperparameter-tuning
model-deployment
prophet
retail
tidyverse
time-series
azure-ml
demand-forecasting
dilated-cnn
forecasting
Обновлено 2023-05-01 00:54:37 +03:00
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
deep-learning
neural-network
generative-adversarial-network
differentiable-renderer
point-cloud
point-cloud-completion
Обновлено 2023-04-19 00:04:59 +03:00
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
deep-learning
computer-vision
pytorch
generative-adversarial-network
gans
image-manipulation
cocosnet
image-synthesis
image-translation
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
Natural Language Processing Best Practices & Examples
machine-learning
deep-learning
nlp
natural-language-processing
best-practices
text-classification
natural-language-understanding
nlu
azure-ml
text
mlflow
pretrained-models
nli
natural-language
natural-language-inference
sota
transfomer
Обновлено 2022-08-29 16:59:54 +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.
unity
machine-learning
deep-learning
computer-vision
robotics
manipulation
perception
physics-simulation
pose-estimation
robotics-simulation
simulation
ur3-robot-arm
ros
urdf
motion-planning
synthetic-data
trajectory-generation
tutorial
model-training
autonomy
Обновлено 2022-04-13 20:50:31 +03:00