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swansealeo's Projects

easyocr icon easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

edward icon edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

extractvideofeature icon extractvideofeature

Extract video features. Currently, the models includes I3D, will be continuously updated.

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

fasttext icon fasttext

Library for fast text representation and classification.

ffmpeg icon ffmpeg

Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch / nvidia / vaapi

foolbox icon foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

frcnn icon frcnn

Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

ga3c icon ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

gpnd icon gpnd

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

hacker-blog icon hacker-blog

Hacker-Blog is a minimalistic, responsive jekyll theme built for hackers. https://ashishchaudhary.in/hacker-blog

hexo-theme-matery icon hexo-theme-matery

A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。

horizon icon horizon

A platform for Applied Reinforcement Learning (Applied RL)

iaf icon iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

image_segmentation icon image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

imagenet icon imagenet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

imbalanced-dataset-sampler icon imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

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