142 Open source projects that are alternatives of or similar to lin-im2im

No description or website provided.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

Implementation of paper everybody dance now for Deep learning course project

Code for "Effective Dimensionality Reduction for Word Embeddings".

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Implement face recognition using PCA, LDA and LPP

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

🏗 Statistical models for biomolecular dynamics 🏗

Progressive Image Inpainting (Kolmogorov Team solution for Huawei Hackathon 2019 summer)

A collection of Poisson lognormal models for multivariate count data analysis

A collection of Poisson lognormal models for multivariate count data analysis

A MATLAB toolbox for classifier: Version 1.0.7

Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap

Implementations of machine learning algorithm by Python 3

Maximum Covariance Analysis in Python

Quick-Data-Science-Experiments

📊 Computation and processing of models' parameters

zAnalysis是基于Pascal语言编写的大型统计学开源库

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Explore high-dimensional datasets and how your algo handles specific regions.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks

An application of high resolution GANs to dewarp images of perturbed documents

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

剔骨仿宋: Experimental Fang Song style Chinese font

A pytorch implementation of "Image-to-Image Translation with Conditional Adversarial Networks"

基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

No description or website provided.

machine learning algorithms in Swift

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

Playing with MNIST. Machine Learning. Generative Models.

Federated Principal Component Analysis Revisited!

Efficient similarity search and clustering for Ruby

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

PCA that iteratively replaces missing data

Animated Visualizations of Popular Machine Learning Algorithms

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

Interactive Visual Machine Learning Demos.

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

OCR Machine Learning in python

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

Randomized Dimension Reduction Library

R Package: Regularized Principal Component Analysis for Spatial Data

A repository for recording the machine learning code

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

PCA and DBSCAN based anomaly and outlier detection method for time series data.

Pan-sharpening in the Earth Engine code editor

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

system performance characterization tool based on linux perf

Streaming, Memory-Limited, r-truncated SVD Revisited!

tiny linear interpolation library for go (factored out from https://github.com/sgreben/yeetgif)