Stars
A course to build distributed key-value service based on TiKV model
syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Efficient GPU kernels for block-sparse matrix multiplication and convolution
implement distributed machine learning with Pytorch + OpenMPI
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Deep learning via category theory and functional programming
Assignment 1: automatic differentiation
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
How to be low-level programmer
The Natural Language Decathlon: A Multitask Challenge for NLP
Image augmentation for machine learning experiments.
Light-Weight RefineNet for Real-Time Semantic Segmentation
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Code for visualizing the loss landscape of neural nets
A modular active learning framework for Python
A highly efficient implementation of Gaussian Processes in PyTorch