The Open Source 3D Reconstruction Toolbox for Gaussian Splats provides an end-to-end, pipeline-based guidance on AWS to reconstruct 3D scenes or objects from images or video inputs.
-
Updated
Oct 17, 2025 - Python
#
training-models
Here are 7 public repositories matching this topic...
ArogyaKrishi MVP is an innovative web application crafted to empower farmers with cutting-edge tools for crop disease detection, soil type prediction, and tailored fertilizer recommendations. By harnessing the latest technology, it delivers actionable insights that revolutionize agricultural practices, promoting healthier crops and sustainablity.
machine-learning environment sustainability ai deep-learning hackathon technology transformers innovation artificial-intelligence ann hackathon-project smart-india-hackathon huggingface-transformers training-models hackathon2024 sih2024 tech-building
-
Updated
Aug 26, 2025 - Jupyter Notebook
Multi-class sentiment analysis with AdaBoost on 27k Kaggle tweets: TF-IDF bigrams (10k feats), stratified split, GridSearchCV—62% acc, 0.78 AUC, robust to noise/imbalance via boosting & lemmatization.
python machine-learning algorithms machine-learning-algorithms artificial-intelligence adaboost datasets adaboost-algorithm training-models ai-model-training
-
Updated
Sep 20, 2025 - Jupyter Notebook
The last task given to me while completing the BCG X Data Science microinternship. Create a Random Forest model using data from part 2. The model will predict which customers will churn and what features are influential to customer's decision to churn.
python machine-learning random-forest data-visualization confusion-matrix data-manipulation churn-prediction bar-chart feature-importance training-models
-
Updated
May 1, 2025 - Jupyter Notebook
The project demonstrates how to build an end-to-end supervised learning workflow for credit approval prediction. It documents the data preparation steps, the training of several classification algorithms, the model selection criteria, and the interpretation of the final solution so that the process can be replicated.
-
Updated
Oct 13, 2025 - Common Lisp
Dialy Curated Open Source Learnings of ML 🤖
python machine-learning deep-neural-networks neural-network numpy pandas-dataframe scikit-learn machine-learning-algorithms supervised-learning classification linear reinforcement-learning-algorithms unsupervised-learning support-vector-machines scikitlearn-machine-learning synthetic-data andrej-karpathy logisti training-models
-
Updated
Jul 31, 2025 - Python
📊 Analyze social media sentiments with AdaBoostClassifier to classify text as positive, negative, or neutral, ensuring accurate insights from noisy data.
-
Updated
Oct 17, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the training-models topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the training-models topic, visit your repo's landing page and select "manage topics."