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/refcell/cstats
Portable Rust Hook to display Claude Code statistics directly in your terminal.
https://github.com/adonath/gammapy
TeV gamma-ray astronomy high-level data analysis method demo
https://github.com/cgcl-codes/hme
HME a hybrid memory emulator for studying the performance and energy characteristics of upcoming NVM technologies. HME exploits features available in commodity NUMA architectures to emulate two kinds of memories: fast, local DRAM, and slower, remote NVM on other NUMA nodes. HME can emulates a wide range of NVM latencies and bandwidth by injecting different memory access delay on the remote NUMA nodes. To facilitate programmers and researchers in evaluating the impact of NVM on the application performance, a high-level programming interface is also provided to allocate memory from NVM or DRAM nodes.
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).