Stars
An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minute…
C++ Implementation of PyTorch Tutorials for Everyone
[IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
Coder for "On the Continuity of Rotation Representations"
Learning to Learn in TensorFlow
Collection of reproducible deep learning for compressive sensing
Understanding normalizing flows
Experimental ground for optimizing memory of pytorch models
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Code for ISBI'19 Tutorial
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
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Graph Neural Network Library for PyTorch
Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)
RadIO is a library for data science research of computed tomography imaging
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Compare some methods of array storage in Python (numpy)
A technical report on convolution arithmetic in the context of deep learning
*New maintainer/owner needed* Fast ICD-10 and ICD-9 comorbidities, decoding and validation in R. NB use main instead of master for default branch.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning