669 skills found · Page 1 of 23
kfrlib / KfrFast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON, RISC-V RVV)
hukenovs / Dsp TheoryTheory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
shibatch / SleefSIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
zh217 / Torch DctDCT (discrete cosine transform) functions for pytorch
yongliang-wu / DFT[ICLR 2026] On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification.
JuliaMolSim / DFTK.jlDensity-functional toolkit
ZJU-FAST-Lab / DftpavA lightweight differential flatness-based trajectory planner for car-like robots
anyunzhong / DFTimelineView仿微信朋友圈时间轴 支持发送图文 短视频 赞 评论 图片大图浏览 视频预览
pyiron / Pyironpyiron - an integrated development environment (IDE) for computational materials science.
jkitchin / Dft BookA book on modeling materials using VASP, ase and vasp
dftbplus / DftbplusDFTB+ general package for performing fast atomistic simulations
usnistgov / JarvisAbout JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/@dr_k_choudhary
log2timeline / DftimewolfA framework for orchestrating forensic collection, processing and data export
paramsen / NoiseNoise is an Android wrapper for kissfft, a FFT implementation written in C.
mzjb / DeepH PackDeep neural networks for density functional theory Hamiltonian.
materialyzeai / M3gnetMaterials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.
materialsproject / Atomate2atomate2 is a library of computational materials science workflows
matejak / Imreg DftImage registration using discrete Fourier transform.
Quantum-Accelerators / Quaccquacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
SMTG-Bham / Dopeddoped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.
