In this work, we will implement some basic but important algorithm of machine learning step by step.

Last update: Dec 30, 2021

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Deep Learning META_MachineLearning

Overview

WoRkS `continued`

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Probability Density Estimation-Non-Parametric Methods(概率密度估计-非参数方法)

1. Kernel / k-Nearest Neighborhood Density Estimators (核密度估计 / K邻近密度估计)

KDE: Fix volume, determine number of points in this volume
K-NN: Fix the number of points and increase the volume to include this number of points

python apply.py

2. Expectation Maximization (EM) Algo for Gaussian Mixture Model (GMM) （应用于高斯混合模型的期望最大化算法）

EM algo is sensible to init, we can use k-means fist for some steps kmeans = KMeans(n_clusters = K, n_init = 10).fit(data)

python apply.py

Owner

liziyu0104

GitHub Repository

This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!

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In this work, we will implement some basic but important algorithm of machine learning step by step.

Related tags

Overview

WoRkS `continued`

Probability Density Estimation-Non-Parametric Methods(概率密度估计-非参数方法)

1. Kernel / k-Nearest Neighborhood Density Estimators (核密度估计 / K邻近密度估计)

2. Expectation Maximization (EM) Algo for Gaussian Mixture Model (GMM) （应用于高斯混合模型的期望最大化算法）

Owner

liziyu0104

This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!

Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

[NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”,

(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

Tree LSTM implementation in PyTorch

State-of-the-art language models can match human performance on many tasks

Stitch it in Time: GAN-Based Facial Editing of Real Videos

Relative Human dataset, CVPR 2022

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction

Differentiable scientific computing library

Source codes for Improved Few-Shot Visual Classification (CVPR 2020), Enhancing Few-Shot Image Classification with Unlabelled Examples

Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)

Code for the TIP 2021 Paper "Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss"

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

[CVPR 2022 Oral] Versatile Multi-Modal Pre-Training for Human-Centric Perception

Memory efficient transducer loss computation

Unofficial PyTorch implementation of Guided Dropout

tinykernel - A minimal Python kernel so you can run Python in your Python

This code implements constituency parse tree aggregation

Unofficial implementation of the Involution operation from CVPR 2021

In this work, we will implement some basic but important algorithm of machine learning step by step.

Related tags

Overview

WoRkS continued

Probability Density Estimation-Non-Parametric Methods(概率密度估计-非参数方法)

1. Kernel / k-Nearest Neighborhood Density Estimators (核密度估计 / K邻近密度估计)

2. Expectation Maximization (EM) Algo for Gaussian Mixture Model (GMM) （应用于高斯混合模型的期望最大化算法）

Owner

liziyu0104

This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!

Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

[NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”,

(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

Tree LSTM implementation in PyTorch

State-of-the-art language models can match human performance on many tasks

Stitch it in Time: GAN-Based Facial Editing of Real Videos

Relative Human dataset, CVPR 2022

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction

Differentiable scientific computing library

Source codes for Improved Few-Shot Visual Classification (CVPR 2020), Enhancing Few-Shot Image Classification with Unlabelled Examples

Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)

Code for the TIP 2021 Paper "Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss"

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

[CVPR 2022 Oral] Versatile Multi-Modal Pre-Training for Human-Centric Perception

Memory efficient transducer loss computation

Unofficial PyTorch implementation of Guided Dropout

tinykernel - A minimal Python kernel so you can run Python in your Python

This code implements constituency parse tree aggregation

Unofficial implementation of the Involution operation from CVPR 2021

WoRkS `continued`