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

Unsupervised learning and generative models in python/pytorch.

A dockerized version of neural style transfer algorithms

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

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

Self-Supervised Learning Toolbox and Benchmark

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

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

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

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

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

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

Fast Neural Style for Image Style Transform by Pytorch

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

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

Tools made for usage alongside artistic style transfer projects

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

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

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

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

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

A curated list of community detection research papers with implementations.

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

[NeurIPS 2019] Spherical Text Embedding

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

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

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

An Unsupervised Learning Framework for Moving Object Detection From Videos

Convolutional Autoencoder for Loop Closure

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

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

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

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

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

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

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

A curated list of pretrained sentence and word embedding models

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

A Compositional Object-Based Approach to Learning Physical Dynamics

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

Torch implementation for audio neural style.

Python Framework for Extractive Text Summarization

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

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

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

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

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

Recreate photos in the style of famous artists with neural networks

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

PyTorch Blog Post On Image Similarity Search

Flappy Bird AI using Evolution Strategies

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

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