Ashik Salim ashikns

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Working from home

ashikns / e2e_embeddings_pipeline.py

Last active January 23, 2026 03:27 — forked from DiTo97/e2e_embeddings_pipeline.py

end-to-end pipeline for hard-negative mining, Sentence-Transformers training, and evaluation

	"""
	Improved end-to-end pipeline for hard-negative mining, Sentence-Transformers training,
	and evaluation (including chain-recall) for multi-hop retrieval tasks.

	High-level features implemented:
	- Three stages implemented: (1) hard negative mining, (2) training, (3) evaluation.
	- Search API definition (async-friendly) that your baseline retrieval system must
	implement to provide prioritized baseline hard-negatives.
	- Baseline hard negatives are given highest priority when merging candidates.
	- BM25 margin-based mining (Lexical mining) is performed and merged with baseline

ashikns / Media.cs

Created December 4, 2018 08:52

Accessing D400 camera data on UWP

	private async void Media()
	{
	var groups = await MediaFrameSourceGroup.FindAllAsync();

	foreach (var group in groups)
	{
	Debug.WriteLine(group.DisplayName);
	}

	var selectedGroup = groups.First();