Presburger's Stars
angus924/aaltd2024
Highly Scalable Time Series Classification for Very Large Datasets
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
google/highway
Performance-portable, length-agnostic SIMD with runtime dispatch
milvus-io/milvus-lite
A lightweight version of Milvus
rapidsai/cuvs
cuVS - a library for vector search and clustering on the GPU
angus924/preval
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
tiskw/random-fourier-features
Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
EthanRosenthal/spacecutter
Ordinal regression models in PyTorch
zilliztech/knowhere
Knowhere is an open-source vector search engine, integrating FAISS, HNSW, etc.
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ggerganov/ggml
Tensor library for machine learning
bfrg/vim-cpp-modern
Extended Vim syntax highlighting for C and C++ (C++11/14/17/20/23)
chcomin/ctypes-numpy-example
A simple example of creating a python module using C or C++ code
hidasib/GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
cure-lab/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
angus924/quant
QUANT: A Minimalist Interval Method for Time Series Classification
Erkaman/Awesome-CUDA
This is a list of useful libraries and resources for CUDA development.
zilliztech/VectorDBBench
A Benchmark Tool for VectorDB
berenger-eu/farm-sve
The Farm-SVE package provides a header that implements the ARM C language extensions (ACLE) for the ARM Scalable Vector Extension (SVE) in standard C++.
Boulder-Investment-Technologies/lppls
Library for fitting the LPPLS model to data.
hora-search/horapy
🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
hora-search/hora
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
liliu-z/milvus
Vector database for scalable similarity search and AI applications.
baraline/convst
Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.
yse/easy_profiler
Lightweight profiler library for c++
jlfwong/speedscope
🔬 A fast, interactive web-based viewer for performance profiles.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
rapidsai/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
runninglinuxkernel/arm64_programming_practice