Codes-for-Algorithms

Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.
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Junior Data Processing

Calculate Distance N dimensional vector:
- euclidean
- manhattan
- Minkowski
Calculate Similarity:
- Jaccard
- Simple Matching Coefficent(SMC)
Calculate relevance:
- Covariance
- Sample Standard Deviation (ssd)
- Pearson Coeffiencent

Apriori
FPGrowth

Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

Related tags

Overview

Codes-for-Algorithms

Owner

Tracy (Shengmin) Tao

Decorator for PyMC3

PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

Convert openmmlab (not only mmdetection) series model to tensorrt

SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]

Efficient training of deep recommenders on cloud.

Benchmarks for semi-supervised domain generalization.

Official implementation of "DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation"

This repository contains the official code of the paper Equivariant Subgraph Aggregation Networks (ICLR 2022)

PyTorch implementation of DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images

3ds-Ghidra-Scripts - Ghidra scripts to help with 3ds reverse engineering

FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction

MMFlow is an open source optical flow toolbox based on PyTorch

Official repository for the paper "Instance-Conditioned GAN"

Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Independent and minimal implementations of some reinforcement learning algorithms using PyTorch (including PPO, A3C, A2C, ...).

LSTM and QRNN Language Model Toolkit for PyTorch

Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

Related tags

Overview

Codes-for-Algorithms

Owner

Tracy (Shengmin) Tao

Decorator for PyMC3

PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

Convert openmmlab (not only mmdetection) series model to tensorrt

SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]

Efficient training of deep recommenders on cloud.

Benchmarks for semi-supervised domain generalization.

Official implementation of "DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation"

This repository contains the official code of the paper Equivariant Subgraph Aggregation Networks (ICLR 2022)

PyTorch implementation of DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images

3ds-Ghidra-Scripts - Ghidra scripts to help with 3ds reverse engineering

FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction

MMFlow is an open source optical flow toolbox based on PyTorch

Official repository for the paper "Instance-Conditioned GAN"

Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Independent and minimal implementations of some reinforcement learning algorithms using PyTorch (including PPO, A3C, A2C, ...).

LSTM and QRNN Language Model Toolkit for PyTorch

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.