Stars
A toolkit to run Ray applications on Kubernetes
a unified scheduler for online and offline tasks
Instant Kubernetes-Native Application Observability
A course to build distributed key-value service based on TiKV model
Kubernetes Native Edge Computing Framework (project under CNCF)
Quilkin is a non-transparent UDP proxy specifically designed for use with large scale multiplayer dedicated game server deployments, to ensure security, access control, telemetry data, metrics and …
Questions to ask the company during your interview
Production-Grade Container Scheduling and Management
Latex code for making neural networks diagrams
Fast and flexible AutoML with learning guarantees.
Generate new lyrics in the style of any artist using LSTMs and TensorFlow.
Tensor methods in Python with TensorLy
TensorFlow Neural Machine Translation Tutorial
code and docs for the EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Upspin: A framework for naming everyone's everything.
Awesome paper list with code about generative adversarial nets
React friendly API wrapper around MapboxGL JS
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Empowering everyone to build reliable and efficient software.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…