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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

adversarial-learning-robustness

Contains materials for workshops pertaining to adversarial robustness in deep learning.

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

atr

Code repo for the paper "Multi-Label Feature Selection Using Adaptive and Transformed Relevance"

awesome-causality-and-ml-papers

关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

binary-hybrid-algorithm-of-particle-swarm-optimization-and-grey-wolf-optimizer

Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection. IEEE Access, 1–1. doi:10.1109/access.2019.2906757

cvpr-2023-papers

cvpr2022-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

deep_learning_object_detection

A paper list of object detection using deep learning.

eco-pytorch

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

feature_selection_methods_for_ml

An implementation of several feature selection algorithms for automating and improving feature selection. Created as the project for the Tabular Data Science course, Bar-Ilan university, 2024.

few-shot-object-detection

Implementations of few-shot object detection benchmarks

few-shot-vid2vid

Pytorch implementation for few-shot photorealistic video-to-video translation.

fewshot-vid2vid

Few-shot Video-to-Video Synthesis 论文阅读心得

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

genexpfs

Evaluation and comparison of Feature Selection algorithms over gene expression microarray datasets

graph-dataset

graphhop

hermione

ML made simple

hfmoea

A hybrid feature selection algorithm combining Filter based methods and a Wrapper method.

huaweicloud_garbage_classify

hybrid_obhsa-mrfo

Hybrid of two Wrapper feature selection algorithms for feature selection.

mcteil

Maximum Causal Tsallis Entropy Imitation Learning

microarray-feature-selection

This repository hosts the code and resources of my Master's thesis project titled: "Comparison of machine learning algorithms effectiveness based on transcriptomic data". The thesis was successfully defended on February 29, 2024.

mlcio

the souce code of "A novel ensemble Over-sampling Approach based Chebyshev Inequality for Imbalanced Multi-Label Data", journal: "neurocomputing"

mlfs-rfsfs

Multi-label feature selection via robust flexible sparse regularization

mlfs-ssfs

Multilabel Feature Selection With Constrained Latent Structure Shared Term