45 skills found · Page 1 of 2
samuela / Git Re BasinCode release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
badlands-model / BadlandsBasin and Landscape Dynamics model
ogkalu2 / Merge Stable Diffusion Models Without DistortionAdaptation of the merging method described in the paper - Git Re-Basin: Merging Models modulo Permutation Symmetries (https://arxiv.org/abs/2209.04836) for Stable Diffusion
Geodels / GosplGlobal Scalable Paleo Landscape Evolution Model
themrzmaster / Git Re Basin PytorchGit Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
huanranchen / LLMLandscapeThe loss landscape of Large Language Models resemble basin!
danigeos / TiscTISC is a topographic evolution model including isostasy, erosion/sediment transport/sedimentation, and tectonic kinematics, to model source-to-sink sedimentary basins.
tRIBS-Model / TRIBSTIN-based Real-time Integrated Basin Simulator (tRIBS) Distributed Hydrological Model
jonovotny / BasinVisA Matlab application for stratigraphic and subsidence modelling of sedimentary basins based on well data.
CBIOMES / CommunityCBIOMES seeks to develop and apply quantitative models of the structure and function of marine microbial communities at seasonal and basin scales.
mcflugen / SedfluxA stratigraphic basin-filling model
OuyangWenyu / HydroDHMA differentiable hydrological model for daily streamflow prediction in data-scarce basins
BASIN-3D / Basin3dThe core BASIN-3D application that uses a generalized data synthesis model that applies across a variety of earth science observation types (hydrology, geochemistry, climate etc.). https://basin3d.readthedocs.io/
snimu / RebasinApply methods described in "Git Re-basin"-paper [1] to arbitrary models --- [1] Ainsworth et al. (https://arxiv.org/abs/2209.04836)
FeralFlows / SedSimA river basin simulation model for sediment, water, and hydropower
Sahrawat1 / Semantic Textual SimilarityAbstract Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications of this task include machine translation, summarization, text generation, question answering, short answer grading, semantic search, dialogue and conversational systems. We developed Support Vector Regression model with various features including the similarity scores calculated using alignment-based methods and semantic composition based methods. We have also trained sentence semantic representations with BiLSTM and Convolutional Neural Networks (CNN). The correlations between our system output the human ratings were above 0.8 in the test dataset. Introduction The goal of this task is to measure semantic textual similarity between a given pair of sentences (what they mean rather than whether they look similar syntactically). While making such an assessment is trivial for humans, constructing algorithms and computational models that mimic human level performance represents a difficult and deep natural language understanding (NLU) problem. Example 1: English: Birdie is washing itself in the water basin. English Paraphrase: The bird is bathing in the sink. Similarity Score: 5 ( The two sentences are completely equivalent, as they mean the same thing.) Example 2: English: The young lady enjoys listening to the guitar. English Paraphrase: The woman is playing the violin. Similarity Score: 1 ( The two sentences are not equivalent, but are on the same topic. ) Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text. STS differs from both textual entailment and paraphrase detection in that it captures gradations of meaning overlap rather than making binary classifications of particular relationships. While semantic relatedness expresses a graded semantic relationship as well, it is non-specific about the nature of the relationship with contradictory material still being a candidate for a high score (e.g., “night” and “day” are highly related but not particularly similar). The task involves producing real-valued similarity scores for sentence pairs. Performance is measured by the Pearson correlation of machine scores with human judgments.
ElcoLuijendijk / PybasinModel the burial and thermal history of sedimentary basins and constrain models using low-temperature thermochronology and vitrinite reflectance data
OuyangWenyu / HydroSPDBStreamflow Prediction in (Dammed) Basins (SPDB) with Deep Learning models
Pywr-DRB / Pywr DRBWater management model for the Delaware River Basin, based on the pywr simulation framework
mlt / SwatSWAT is a river basin scale model developed to quantify the impact of land management practices in large, complex watersheds. SWAT is a public domain model actively supported by the USDA Agricultural Research Service at the Grassland, Soil and Water Research Laboratory in Temple, Texas, USA.
