reapxdev/zenodo-scraper huggingface dataset:
vacanza/holidays: v0.102
Authors: Murza, Serhii, Siripanich, Panpakorn, Yakovets, Arkadii
Type: Software
Published: 2026-08-03
Keywords: balinese saka, buddhist, calendar, chinese, christian, eastern, hebrew, hindu, holidays, international, islamic, ISO 3166-1, ISO 3166-2, mandean, mongolian, open source, open world holidays framework, persian, public holidays, python, sinhala, thai, tibetan, vacanza, weekend, workday

<h2>Version 0.102</h2>
<p>Released August 3, 2026</p>
<ul>
<li>Refactor XNYS holidays: update format labels handling (#3724 by @KJhellico)</li>
<li>Add Bolsas y Mercados Argentinos (BYMA) holidays (#3715 by @SebastianFelgueras, @KJhellico)</li>
<li>Add Bolsas y Mercados Españoles (BME) holidays (#3710 by @pareshjoshij)</li>
<li>Add Johannesburg Stock Exchange (JSE) holidays (#3714 by @pareshjoshij, @arkid15r, @KJhellico)</li>
<li>Add Korea Exchange (KRX) holidays (#3725 by @pareshjoshij)</li>
<li>Add Singapore Exchange (SGX) holidays (#3719 by @pareshjoshij)</li>
<li>Update Latvia holidays: add ru localization (#3748 by @aleks-drozy)</li>
<li>Update Australia holidays: rename Grand Final Day holiday (VIC) (#3741 by @piyush-003)</li>
<li>Update CI/CD workflow: optimize build testing (#3717 by @KJhellico)</li>
<li>Update Ghana holidays (#3746 by @KJhellico)</li>
<li>Update India holidays: add Remna Ni (Peace Accord Day) for MZ (#3730 by @CodeWithHarsh143, @arkid15r)</li>
<li>Update India holidays: subdiv holidays improvement (North region) (#3666 by @ankushhKapoor, @arkid15r, @KJhellico)</li>
<li>Update Israel holidays: fix Lag Ba'omer name in Hebrew (#3723 by @KJhellico)</li>
<li>Update Malaysia holidays: add 2026 additional Hari Raya Aidilfitri public holiday (#3699 by @uttam12331, @KJhellico)</li>
<li>Update Paraguay holidays: add new Constitution Oath Day holiday (#3702 by @uttam12331, @KJhellico)</li>
<li>Update South Korea holidays: update Constitution Day and Labor Day (#3728 by @KJhellico)</li>
<li>Update Uganda holidays: add 2026 general elections public holidays (#3701 by @uttam12331, @KJhellico)</li>
<li>Update l10n: Thai l10n standardisation for "Workers' Day" (#3729 by @PPsyrius)</li>
<li>Update l10n: general unification (#3720 by @KJhellico)</li>
<li>Migrate Madagascar tests to new test case standards (#3744 by @VaishnaviBardapure, @KJhellico)</li>
</ul>
<p><strong>New Contributors</strong>:</p>
<ul>
<li>@SebastianFelgueras made their first contribution in https://github.com/vacanza/holidays/pull/3715</li>
<li>@CodeWithHarsh143 made their first contribution in https://github.com/vacanza/holidays/pull/3730</li>
<li>@piyush-003 made their first contribution in https://github.com/vacanza/holidays/pull/3741</li>
<li>@aleks-drozy made their first contribution in https://github.com/vacanza/holidays/pull/3748</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/vacanza/holidays/compare/v0.101...v0.102</p>
PTQ-LUT Post-Training Quantization into LUT-based Neural Networks
Authors: Samson, Ebby
Type: Software
Published: 2026-08-03
Keywords: post-training quantization, vector quantization, lookup tables, transformers, FPGA, SystemVerilog, RTL, GLUE, ImageNet

<p>PTQ-LUT is a library for post-training quantization (PTQ) of transformer models to use LUT-based compute with lookup tables (LUTs) that operate over quantized / vector-quantized (VQ) codewords, together with a matching SystemVerilog accelerator RTL. Matrix-vector products are evaluated by table lookups plus integer accumulation instead of DSP multipliers. Includes BERT/DistilBERT/ELECTRA on GLUE and DeiT/ViT on ImageNet-1K evaluation scripts, and Vivado out-of-context synthesis sweeps targeting AMD Alveo V80.</p>
key4hep/k4Bench: v0.0.33
Authors: Joshua Beirer
Type: Software
Published: 2026-08-03

<h2>What's Changed</h2>
<ul>
<li>feat(dashboard): show the active section's scope under the section bar by @jbeirer in https://github.com/key4hep/k4Bench/pull/141</li>
<li>refactor(dashboard): unify display options across tabs by @jbeirer in https://github.com/key4hep/k4Bench/pull/142</li>
<li>refactor(dashboard): drop the sidebar configuration filter by @jbeirer in https://github.com/key4hep/k4Bench/pull/143</li>
<li>fix(dashboard): align SiD under DD4hep in overview legend by @jbeirer in https://github.com/key4hep/k4Bench/pull/145</li>
<li>fix(dashboard): derive the regression release from the selected report by @jbeirer in https://github.com/key4hep/k4Bench/pull/146</li>
<li>fix(dashboard): address night-picker review findings by @jbeirer in https://github.com/key4hep/k4Bench/pull/147</li>
<li>fix(docs): avoid API index page collision by @jbeirer in https://github.com/key4hep/k4Bench/pull/149</li>
<li>feat(blame): attribute k4Bench's own changes in the window by @jbeirer in https://github.com/key4hep/k4Bench/pull/148</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/key4hep/k4Bench/compare/v0.0.32...v0.0.33</p>
Physics-Informed Molecular-to-Cell Verification Repository: OpenMM, MBAR/TI, MATLAB, and COMSOL
Authors: BUBU, PIUS, Aja, Patrick Maduabuchi, Israel-Cookey, Chigozie, Ukagwu, Kelechi John, adie, Awafung Emmanuel, DENNISON, MILON SELVAM, Barah, Obinna O, Makena, Wusa, Archibong, Archibong
Type: Software
Published: 2026-08-03

<p>This reproducibility package contains the executable scripts, archived numerical outputs, and finite-element model configuration used for the computational verification reported in the manuscript “A Physics-Informed Molecular-to-Cell Framework for Brain Drug Transport and Receptor Occupancy.”</p>
<p>The openmm_mbar module contains the OpenMM harmonic alchemical benchmark, self-consistent MBAR and thermodynamic-integration estimators, block-bootstrap uncertainty analysis, overlap diagnostics, and archived outputs. The comsol_matlab module contains the portable MATLAB LiveLink orchestration routine, the COMSOL Multiphysics 6.4 reaction-diffusion model, time-series data, the solved concentration field, and environment records. The documentation module contains the figure-generation routines.</p>
<p>The archived OpenMM benchmark reproduces an analytical free-energy difference of 5.1868316895 kJ/mol, with MBAR and TI estimates of 5.2204040753 and 5.2589758452 kJ/mol. The COMSOL verification reports a domain-mean concentration of approximately 0.519927 mol/m3 at 300 s. README.md provides complete reproduction and validation instructions.</p>
<p>These calculations verify software interfaces, estimators, uncertainty handling, and scale-transfer logic. They are not receptor-specific binding-affinity predictions, calibrated blood-brain barrier results, therapeutic rankings, or clinical evidence. Rerunning the COMSOL-MATLAB component requires valid local licenses for COMSOL Multiphysics, LiveLink for MATLAB, and MATLAB; downloading the archive requires no proprietary credentials.</p>