656 Open source projects that are alternatives of or similar to Splitbrainauto

Contrastive Predictive Coding for Automatic Speaker Verification

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

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

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

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.

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

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

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

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

Implementation of VLAE

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

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Transformer for Graph Classification (Pytorch and Tensorflow)

A stable algorithm for GAN training

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

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

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

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

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

Deep learning using tensorflow

A Compositional Object-Based Approach to Learning Physical Dynamics

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

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

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

Latent space autoregression for novelty detection.

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

A curated list of pretrained sentence and word embedding models

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

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

[NeurIPS 2019] Spherical Text Embedding

Flappy Bird AI using Evolution Strategies

code/webpage for the DeepMapping project

An Unsupervised Learning Framework for Moving Object Detection From Videos

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

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

A curated list of dedicated resources and applications

Representation learning for link prediction within social networks

A Variational Autoencoder (VAE) implemented in PyTorch

Tensorflow implementation of Adversarial Autoencoders

Learning deep representations by mutual information estimation and maximization

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.

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中文的 tensorflow tutorial with jupyter notebooks

Image reconstruction done with untrained neural networks.

Library of autoencoders for sequential data

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Visualization techniques for the latent space of a convolutional autoencoder in Keras

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Generative Adversarial Networks and Autoencoders for 3D Shapes

Implementation of the stacked denoising autoencoder in Tensorflow

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

Focal Frequency Loss for Generative Models

Tensorflow implementation of conditional variational auto-encoder for MNIST