261 Open source projects that are alternatives of or similar to Recursive Cascaded Networks

An Unsupervised Learning Framework for Moving Object Detection From Videos

A curated list of community detection research papers with implementations.

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

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Training and evaluating a variational autoencoder for pan-cancer gene expression data

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

A curated list of pretrained sentence and word embedding models

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Flappy Bird AI using Evolution Strategies

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

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

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

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

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

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

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

Unsupervised learning and generative models in python/pytorch.

Transformer for Graph Classification (Pytorch and Tensorflow)

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

[NeurIPS 2019] Spherical Text Embedding

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

code/webpage for the DeepMapping project

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

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

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

How to do Unsupervised Clustering with Keras

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

Contrastive Predictive Coding for Automatic Speaker Verification

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

Deep learning using tensorflow

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Implementation of VLAE

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

A Compositional Object-Based Approach to Learning Physical Dynamics

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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.

Convolutional Autoencoder for Loop Closure

VIP cheatsheets for Stanford's CS 229 Machine Learning

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

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/>.

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

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This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

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Latent space autoregression for novelty detection.