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Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Framework for evaluating ANNS algorithms on billion scale datasets.
An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model
CUDA implementation of Hierarchical Navigable Small World Graph algorithm
数据科学的笔记以及资料搜集
Destruction and Construction Learning for Fine-grained Image Recognition
Graph based indices for approximate nearest neighbor search
Examples of DPU programs using the UPMEM DPU SDK
fast library for ANN search and KNN graph construction
A library for efficient similarity search and clustering of dense vectors.
Implementation of Graph Convolutional Networks in TensorFlow
A robot powered training repository :robot:
Google Research
Header-only C++/python library for fast approximate nearest neighbors
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Codes for Fine-grained Food Recognition
METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering
MQSim is a fast and accurate simulator modeling the performance of modern multi-queue (MQ) SSDs as well as traditional SATA based SSDs. MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs. It is described in detail in the FAST 2018 paper by Arash Tavakkol et al., "MQSim: A Framework for Enabling Realistic Studies of Modern Multi-Queue SSD Devices" (https://people.inf.ethz.ch/omutlu/pub/MQSim-SSD-simulation-framework_fast18.pdf)
Benchmark of Nearest Neighbor Search on High Dimensional Data
Navigating Spreading-out Graph For Approximate Nearest Neighbor Search
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Here are some mplementations of some basic hardware units in RTL language (verilog for now), which can be used for area/power evaluation and support the hardware design tradeoff.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.