LLLjun

sparse-tensor-core

hnsw_nics

SPTAG

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

big-ann-benchmarks

Framework for evaluating ANNS algorithms on billion scale datasets.

cacti

An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model

cuhnsw

CUDA implementation of Hierarchical Navigable Small World Graph algorithm

stonne

STONNE: A Simulation Tool for Neural Networks Engines

thuthesis

LaTeX Thesis Template for Tsinghua University

dgSPARSE-Library

DiskANN

Graph based indices for approximate nearest neighbor search

DiskANN_NICS

dpu_demo

Examples of DPU programs using the UPMEM DPU SDK

faiss

A library for efficient similarity search and clustering of dense vectors.

google-research

Google Research

hello-world

hnswlib

Header-only C++/python library for fast approximate nearest neighbors

learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

meituan-food-recognition

Codes for Fine-grained Food Recognition

METIS

METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering

MQSim

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)

nns_benchmark

Benchmark of Nearest Neighbor Search on High Dimensional Data

nsg

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

PIM-Embedding-Lookup

Predictive-Maintenance-using-LSTM

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

pytorch-handbook

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

RTL_library_of_basic_hardware_units

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.

test_repo

ThreadPool

A simple C++11 Thread Pool implementation

TileFlow

TileFlow is a performance analysis tool based on Timeloop for fusion dataflows