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victor8733's Projects

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deepdow icon deepdow

Portfolio optimization with deep learning.

deepfacelab icon deepfacelab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

deeplearningpython35 icon deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

degit icon degit

DeGit is a "Decentralized GitHub"

dis icon dis

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

docsearch icon docsearch

:blue_book: The easiest way to add search to your documentation.

doom-ai icon doom-ai

Deep Convolutional Q-Learning powered Ai playing early stage 3D video game, "Doom".

earthstar icon earthstar

A distributed, syncable document database for making p2p apps

ebsynth icon ebsynth

Fast Example-based Image Synthesis and Style Transfer

edaviz icon edaviz

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

egnet icon egnet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

excalidraw icon excalidraw

Excalidraw is a whiteboard tool that lets you easily sketch diagrams that have a hand-drawn feel to them.

eyeloop icon eyeloop

EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

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