Search alternatives:
model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
code implementation » time implementation (Expand Search), world implementation (Expand Search), _ implementation (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
Showing 81 - 100 results of 286 for search '(( python code implementation ) OR ( python model implementation ))', query time: 0.30s Refine Results
  1. 81
    Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of concept sets where the cluster mean distance is significantly lower, indicative of superior embeddings.

    Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of conce... by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 82
    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <i>τ</i>. The burst frequency , the mean burst size and . (B) Refractory model simulation results ( samples). The gene has three states, , and , and can switch from one state to another. Moreover, nascent mRNA is produced only when the gene is in state . The parameters are , , , and <i>τ</i> = 1.

    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... by Ziyan Jin (21021976)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 83
    DeepB3Pred - code

    DeepB3Pred - code by Saleh Musleh (22263718)

    Published 2025
    Save to List
    Saved in:
  4. 84
    Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model.

    Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. by Mohanad Faeq Ali (21354273)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 85
    DeepB3Pred_source_code

    DeepB3Pred_source_code by Muhammad Arif (17012472)

    Published 2025
    Save to List
    Saved in:
  6. 86
    Code

    Code by Baoqiang Chen (21099509)

    Published 2025
    “…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
    Save to List
    Saved in:
  7. 87
    RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production and degradation) and a down-regulation phase (degradation-only). In the first phase, <i>%</i>, <i>%</i> and <i>%</i> for the reaction time . In the second phase,  ∕ 1, <i>X</i> ∼ NB ( <i>r</i> , <i>μ</i> )  and <i>μ</i>. (B) Simulation results for RNA Velocity model with delay in degradation ( samples). RNA degradation is specified as a delayed reaction. In the first (up-regulation) phase: <i>Y</i> ≡ <i>n</i>, <i>t</i> = 0 and <i>%</i>. In the second (down-regulation) phase: <i>%</i>, <i>%</i> and <i>%.</i>

    RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production... by Ziyan Jin (21021976)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 88
    Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , with different . The control parameter is . (B) The potential landscape is approximated by simulating a large number of molecules corresponding to concentrations ( samples) with parameter values , , and , respectively representing the adenocarcinoma state, the intermediate state, and the squamous carcinoma state. FOXA2 and SOX2 amounts are chosen to visualize the landscape. (C) Principle of SOX2-targeted degradation by the PROTAC technique. The PROTAC molecule here is designed to recognize SOX2 proteins and to recruit E3 ligases to induce an addition of ubiquitin (Ub) proteins onto SOX2, which causes degradation of SOX2 subsequently. (D) Application of a SOX2 degrader to the squamous carcinoma state () reprogram the AST network back to the adenocarcinoma state. Here the treatment effect of the SOX2 degrad

    Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... by Ziyan Jin (21021976)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 89
    Scripts, data and figures underpinning 'Towards the Creation of Legible Octilinear Power Grid Diagrams Using Mixed Integer Linear Programming'

    Scripts, data and figures underpinning 'Towards the Creation of Legible Octilinear Power Grid Diagrams Using Mixed Integer Linear Programming' by Paul Cuffe (2937081)

    Published 2024
    “…<p dir="ltr">These Python notebooks implement the techniques described in the paper "Towards the Creation of Legible Octilinear Power Grid Diagrams Using Mixed Integer Linear Programming".…”
    Save to List
    Saved in:
  10. 90
    Code and data for reproducing the results in the original paper of DML-Geo

    Code and data for reproducing the results in the original paper of DML-Geo by Pengfei CHEN (8059976)

    Published 2025
    “…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…”
    Save to List
    Saved in:
  11. 91
    SEPARATE Code Repository

    SEPARATE Code Repository by Gyuri Kim (21424973)

    Published 2025
    Save to List
    Saved in:
  12. 92
    Reproducible Code and Data for figures

    Reproducible Code and Data for figures by Bonyad Ahmadi (20750327)

    Published 2025
    “…</i></p><p dir="ltr">It contains:</p><p dir="ltr">✅ <b>Python Code</b> – Scripts used for data preprocessing, and visualization.…”
    Save to List
    Saved in:
  13. 93
    software code of NeoDesign

    software code of NeoDesign by Wenqian Yu (19730101)

    Published 2024
    “…<h2>Implementation and Dependencies</h2><p dir="ltr">neoDesign was developed with python (recommend>3.9) and shell (bash) language. …”
    Save to List
    Saved in:
  14. 94
    DA-Faster-RCNN code

    DA-Faster-RCNN code by Seunghyeon Wang (16500132)

    Published 2025
    “…The implementation is written in Python using PyTorch and Detectron2.…”
    Save to List
    Saved in:
  15. 95
    Workflow of segmentation model creation and application.

    Workflow of segmentation model creation and application. by Vincent Hickl (16947429)

    Published 2025
    Save to List
    Saved in:
  16. 96
    The codes and data for "Lane Extraction from Trajectories at Road Intersections Based on Graph Transformer Network"

    The codes and data for "Lane Extraction from Trajectories at Road Intersections Based on Graph Transformer Network" by Chongshan Wan (19247614)

    Published 2024
    “…</p><h3><b>Model training</b></h3><h4><code>python train_GTN.py</code></h4><p dir="ltr">This step trains the GTN model. …”
    Save to List
    Saved in:
  17. 97
    Simulation Code and Raw Data

    Simulation Code and Raw Data by Melih Özkurt (22278520)

    Published 2025
    “…<p dir="ltr">Reproducible code (Python) implementing a symmetrized split-step Fourier method (SSFM), with configuration files for all scans. …”
    Save to List
    Saved in:
  18. 98
    RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices

    RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices by RealBench RealBench (22275393)

    Published 2025
    “…<br>│ │ └── uml_dag.py # UML dependency graph analysis.<br>│ ├── model_gen/ # Code generation using various LLMs.<br>│ │ ├── generate/ # LLM inference implementations.…”
    Save to List
    Saved in:
  19. 99
    BlueRecording simulates hippocampal LFP.

    BlueRecording simulates hippocampal LFP. by Joseph James Tharayil (21416715)

    Published 2025
    Save to List
    Saved in:
  20. 100
    A game of life with dormancy - Code

    A game of life with dormancy - Code by Daniel Henrik Nevermann (20376933)

    Published 2024
    “…</p><ul><li>To run an animated simulation, use `python simulation.py'.</li><li>The implementation of Spore Life can be found in gol.py.…”
    Save to List
    Saved in:

Search Tools: