torchsom
TorchSOM is a PyTorch-based library for training Self-Organizing Maps (SOMs), a type of unsupervised learning algorithm used for clustering and dimensionality reduction. Designed for scalability and ease of use, this implementation is optimized for large-scale data.
https://github.com/cgcl-codes/prdma
pRDMA proposes persistent RPC designs. Persistent RPCs use several hardware-supported RDMA Flush primitives to decouple the data persisting from the complicated RPC processing. Also, pRDMA implements several RPC transmission models of state-of-the-art RPC work for performance comparison.
https://github.com/demianhj/generative-models
Generative Models by Stability AI
https://github.com/cgcl-codes/vuldeepecker
VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
https://github.com/abelsiqueira/nlpmodelsipopt.jl
A thin IPOPT wrapper for NLPModels
https://github.com/cgcl-codes/yitu
YiTu is an easy-to-use runtime to fully exploit the hybrid parallelism of different hardwares (e.g., GPU) to efficiently support the execution of various kinds of graph algorithms (e.g., GNNs).
https://github.com/cgcl-codes/patheval
This is an evaluation set for the problem of directed/targeted test input generation. We use it to benchmark the ability of Large Language Models for generating inputs to reach a certain code location or produce a particular result.
https://github.com/apn-pucky/sympy
A computer algebra system written in pure Python
hogpp
Fast computation of rectangular histogram of oriented gradients (R-HOG) features using integral histogram
https://github.com/cgcl-codes/vultrigger
VulTrigger is a tool to for identifying vulnerability-triggering statements across functions and investigating the effectiveness of function-level vulnerability detectors in detecting inter-procedural vulnerabilities.
