292 Open source projects that are alternatives of or similar to Tensorflowprojects

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Lightweight implementation of neural style in Pytorch with SqueezeNet

SelFlow: Self-Supervised Learning of Optical Flow

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

Implementing machine learning algorithms from scratch.

100-Days-Of-ML-Code中文版

An Unsupervised Learning Framework for Moving Object Detection From Videos

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

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

A simple, concise tensorflow implementation of style transfer (neural style)

Convolutional Autoencoder for Loop Closure

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

Self-Supervised depth kalilia

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

Infinite Zoom For Style Transfer

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

A Keras Implementation of "A Neural Algorithm of Artistic Style"

Neural Style implementation in PyTorch! 🎨

TensorFlow implementation of Deep Graph Infomax

Machine Learning (EE 5184) in NTU

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

TCyb 2018: Graph learning for multiview clustering

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Unsupervised Learning for Image Registration

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

VIP cheatsheets for Stanford's CS 229 Machine Learning

cyclegan reimplimented in keras

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Deep-learning approaches to object recognition from 3D data

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

Unsupervised Controllable Text Generation (Applied to text Formalization)

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Find nodes in hierarchical clustering that are statistically significant

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

Chainer implementation of deep-INFOMAX

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Unsupervised learning of atomic scale dynamics from molecular dynamics.

Infinite Zoom For Style Transfer

A curated list of pretrained sentence and word embedding models

A comprehensive list of awesome contrastive self-supervised learning papers.

📈 Regression and Classification with UC Davis student quiz data and exam data

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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

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

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

Latent space autoregression for novelty detection.

code/webpage for the DeepMapping project

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

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

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