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DS-GA 1003[Spring 2019]
Machine learning course materials.
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
This repository contains the code to the paper "MVAE: Multimodal Variational Autoencoder for Fake News Detection"
This is the implementation of Sparse Projection Oblique Randomer Forest
Reimplementation of Graph Embedding methods by Pytorch.
此项目是《剑指offer》第二版里算法面试题的Python3实现版本，作为一本经典书籍，可以时常拿出来看一看、翻一翻、记一记。同时也是为了Python程序员能够更好的通过公司的技术面试，拿到心仪的offer。
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and …
Build your neural network easy and fast, 莫烦Python中文教学
Generative image model with learned similarity measures
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our N…
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
My coursework for Machine Learning (2021 Spring) at National Taiwan University (NTU)
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring
MXNet/Gluon implementation of the original (Gaussian) Variational Autoencoders (VAE)
Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch
A simple pytorch implementation of Langevin Monte Carlo algorithms.
李宏毅2021/2022/2023春季机器学习课程课件及作业
中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
A curated list of long-tailed recognition resources.