surya501
surya501
/ benchmark_annoy.py
Created
December 3, 2025 00:06
Annoy vector database benchmark for DINOv2 embeddings (1024D)
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| #!/usr/bin/env python3 | |
| # /// script | |
| # requires-python = ">=3.10" | |
| # dependencies = [ | |
| # "annoy==1.17.0", # Note: 1.17.3 has a bug with get_nns_by_vector on macOS ARM64 | |
| # "numpy", | |
| # ] | |
| # /// | |
| """ | |
| Annoy Vector Database Benchmark |
surya501
/ generate_embeddings_onnx.py
Created
November 19, 2025 18:22
ResNet ONNX/PyTorch Embedding Generator - PEP 723 standalone script for image similarity search (1x7 grid with ResNet input visualization)
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| #!/usr/bin/env python3 | |
| # /// script | |
| # requires-python = ">=3.11" | |
| # dependencies = [ | |
| # "onnxruntime>=1.18.0", | |
| # "numpy>=1.24.0", | |
| # "pillow>=10.0.0", | |
| # "h5py>=3.9.0", | |
| # "torch>=2.0.0", | |
| # "torchvision>=0.15.0", |
surya501
/ check_silence.py
Created
May 14, 2025 22:55
Script to visually spot check the audio gaps in wav files
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| #!/usr/bin/env -S uv run --script | |
| # /// script | |
| # requires-python = "<=3.12" | |
| # dependencies = [ | |
| # "pydub", | |
| # "numpy" | |
| # ] | |
| # /// | |
| import argparse |
surya501
/ lshhash_torch.py
Created
April 7, 2017 19:03
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| # Pytorch implementation of LSHHash from https://github.com/kayzhu/LSHash | |
| # Homework: Try to implement LSHHash in pytorch to speed up meanshift. | |
| # Motivation: i.e. why calculate all distances when you need only a few. | |
| import numpy as np | |
| import importlib | |
| import torch_utils | |
| importlib.reload(torch_utils) | |
| from torch_utils import * |
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| # %matplotlib inline | |
| import pandas as pd | |
| import numpy as np | |
| import keras | |
| import tensorflow as tf | |
| import os | |
| from keras.models import Model | |
| from keras.layers import Input, Embedding, merge | |
| from keras.layers.core import Flatten, Dense, Dropout, Lambda |