397 Open source projects that are alternatives of or similar to Python Gift Exchange

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Advanced library for randomization, hashing and statistical analysis (devoted to chaos machines). 🔬

Unity packages and demos—emphasizing ECS, jobs and the Burst compiler—by me, Reese.

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

Generate random data for MongoDB

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Ruby Imperative Random Data Generator and Quickcheck

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Random Data Generation and/or Property Testing in Scala & Scala.JS.

Convolutional Autoencoder for Loop Closure

How to do Unsupervised Clustering with Keras

Haskell Library for producing quality fake data

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

Contrastive Predictive Coding for Automatic Speaker Verification

Random data generation in Swift

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

A few hacks n' helpers to make your code more fun and unpredictable.

RandoPhp is a open source library that implements random generators (Integer, Char, Byte, Sequences, Boolean) and take random sample from arrays

Random data generator

Effects for use with Hyperapp

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Generate random numbers from different probability distributions.

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

🔮 Easy access to model information for various model objects

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

A fuzzing library in JavaScript. ✨

Math.NET Numerics

A fluent PHP random key generator.

A curated list of pretrained sentence and word embedding models

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Paddle Distributed Training Extended. 飞桨分布式训练扩展包

Javascript module for generating random, distinguishable, pleasing colors (ie: for chart series).

A unique string ID generator for Java.

Self-Supervised Learning Toolbox and Benchmark

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

Typical random-related functions for JavaScript and TypeScript.

commit-reveal RNG method in Ethereum

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

[NeurIPS 2019] Spherical Text Embedding

Code for unsupervised aspect extraction, using Keras and its Backends

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Flappy Bird AI using Evolution Strategies

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

A stable algorithm for GAN training

Complete-Life-Cycle-of-a-Data-Science-Project