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.
UCL MSc Computational Statistics and Machine Learning Revision Notes
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.