Pengfight

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Machine-Learning-Session

DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

GPflow

Gaussian processes in TensorFlow

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Time-Series-Papers

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

robustness_metrics

BayesianRNN

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

calibration-framework

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

18S096SciML

18.S096 - Applications of Scientific Machine Learning

ntu-hsuantienlin-ml

:book: **大学林轩田机器学习笔记

pytorch-mdn

Mixture Density Networks for PyTorch

dul-pytorch

[2020-CVPR]Data Uncertainty Learning in Face Recognition

lectures

repository with the lectures for MLSS Skoltech

toys

Toy models, experiments and random notes on machine learning and deep learning.

ODE2VAE

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

SDE-Net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

uncertainties

AM207 project: dissect aleatoric and epistemic uncertainty

confidence-aware-learning

Confidence-Aware Learning for Deep Neural Networks (ICML2020)

SingleModelUncertainty

Learning error bars for neural network predictions

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

realseries

RealSeries is a comprehensive out-of-the-box Python toolkit for various tasks, including Anomaly Detection, Granger causality and Forecast with Uncertainty, of dealing with Time Series Datasets.

challenge2012

Python code parsing data from PhysioNet Challenge 2012