324 Open source projects that are alternatives of or similar to Arflow

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

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

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Code for unsupervised aspect extraction, using Keras and its Backends

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

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

Fast, accurate and easy to run dense optical flow with python wrapper

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

speech to text with self-supervised learning based on wav2vec 2.0 framework

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Repository for different network models related to flow/disparity (ECCV 18)

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

An extensive machine learning library, made from scratch (Python).

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Dense Matching Benchmark

Optical Flow estimation in pure Python

100-Days-Of-ML-Code中文版

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Composable GAN framework with api and user interface

A library of extension and helper modules for Python's data analysis and machine learning libraries.

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

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

Implementing machine learning algorithms from scratch.

PHP-ML - Machine Learning library for PHP

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

Python Framework for Extractive Text Summarization

和（he for objective-c） —— “信息熵减机系统”

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Unsupervised Speech Decomposition Via Triple Information Bottleneck

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Unsupervised learning of atomic scale dynamics from molecular dynamics.