classification
There are 14892 repositories under classification topic.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
ml-cvnets
CVNets: A library for training computer vision networks
EasyCV
An all-in-one toolkit for computer vision
MLJ.jl
A Julia machine learning framework
pyts
A Python package for time series classification
lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
pytorch-classification
Classification with PyTorch.
project_alias
Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.
awesome-openai-vision-api-experiments
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
mlr
Machine Learning in R
awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
eda_nlp
Data augmentation for NLP, presented at EMNLP 2019
thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
datacurator-filetree
a standard filetree for /r/datacurator [ and r/datahoarder ]
mmrazor
OpenMMLab Model Compression Toolbox and Benchmark.
MLBox
MLBox is a powerful Automated Machine Learning python library.
pycm
Multi-class confusion matrix library in Python
dlcv_for_beginners
《深度学习与计算机视觉》配套代码
inference
Turn any computer or edge device into a command center for your computer vision projects.
Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
tribuo
Tribuo - A Java machine learning library
awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
caffe-model
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
detext
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
How-to-use-Transformers
Transformers 库快速入门教程
SimpleCVReproduction
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
AlphaPy
Python AutoML for Trading Systems and Sports Betting
MedMNIST
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
TencentPretrain
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
ttach
Image Test Time Augmentation with PyTorch!
nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference