321YY's repositories
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
causalml
Uplift modeling and causal inference with machine learning algorithms
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
dogs_vs_cats
猫狗大战
Explainable_AI
Collection of explainable AI notebooks and projects
Fatigue-Driven-Detection-Based-on-CNN
本科毕设内容：基于卷积神经网络的疲劳驾驶检测。
GBDTMO
Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.
hdbscan
A high performance implementation of HDBSCAN clustering.
ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
image_class
基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
machine_learning_complete
A comprehensive repository containing 30+ notebooks on learning machine learning!
MachineLearning_DeepLearning
I will share about Machine Learning and Deep Learning.
nnabla-examples
Neural Network Libraries https://nnabla.org/ - Examples
optuna
A hyperparameter optimization framework
PyRCN
A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
python-img_gist_feature
Implement extracting Gist feature from a image (Matlab LMGist)
PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
scikeras
Scikit-Learn API wrapper for Keras.
scikit-fda
Functional Data Analysis Python package
seisbench
SeisBench - The Seismology Benchmark collection
seismology101
Tutorials for absolute beginners in Seismology
selective
Selective: Feature Selection Library
surface_normal_uncertainty
surface normal uncertainty
synthetic
Symbolic Generators for Complex Networks
transdim
Machine learning for transportation data imputation and prediction.
XGBoostLSS
An extension of XGBoost to probabilistic forecasting
xplique
👋 Xplique is a Neural Networks Explainability Toolbox