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siamrpn-pytorch

A clean PyTorch implementation of SiamRPN tracker, evaluated on 7 datasets.

siamrpn-tf

A TensorFlow implementation of SiamRPN

siamrpn-vgg

Combination of SiamRPN and VGG

siamvgg

SiamVGG: Visual Tracking with Deeper Siamese Networks

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

single-object-visual-tracking_a-paper-list

A complete paper list of Single-Object Visual Tracking Algorithms, Surveys and Benchmarks of recent years. Different from existing paper list, this project doesn't simply category the papers by publishment, but from a tracking challenge-tackling perspective.

single-parameter-fit

Real numbers, data science and chaos: How to fit any dataset with a single parameter

skeltorch

Light-weight framework that helps researchers to prototype faster using PyTorch.

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

sqair

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

ssl_watermarking

Official implementation of "Watermarking Images in Self-Supervised Latent-Spaces"

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stargan-tensorflow

Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)

starter-academic

steps-to-curate-imagnet-for-siamese-networks

stylegan

StyleGAN - Official TensorFlow Implementation

stylegan2

StyleGAN2 - Official TensorFlow Implementation

stylegan2-pytorch

Simplest working implementation of Stylegan2 in Pytorch

superpoint

Efficient neural feature detector and descriptor

svd-solution-for-the-ill-posed

switchable-normalization

tadt

Implementation of the TADT tracker of paper 'Target-Aware Deep Tracking'

tadt-python

Pytorch implementation of the Target-Aware Deep Tracking (TADT) method.

tbcf

Tracking Benchmark for Correlation Filters

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-input-pipeline

A simpler way of reading data into TensorFlow

tensorflow-mnist-vae

Tensorflow implementation of variational auto-encoder for MNIST