Stars
A guidance language for controlling large language models.
Most popular metrics used to evaluate object detection algorithms.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
A PyTorch implementation of EfficientNet
Create standalone flask app using pyinstaller
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
Code snippets created for the PyTorch discussion board
🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Learning diverse image-to-image translation from unpaired data
Simple Tensorflow implementation of "Diverse Image-to-Image Translation via Disentangled Representations" (ECCV 2018 Oral)
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A PyTorch Implementation of Single Shot MultiBox Detector
Style transfer, deep learning, feature transform
Log TensorBoard events without touching TensorFlow
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Progressive Growing of GANs for Improved Quality, Stability, and Variation
pix2code: Generating Code from a Graphical User Interface Screenshot
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
Collection of generative models in Tensorflow
A MNIST-like fashion product database. Benchmark 👇
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Two time-scale update rule for training GANs