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Why Your Deep Learning Model Isn't Learning: Diagnosing Data Problems in Medical Imaging
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Why Your Deep Learning Model Isn't Learning: Diagnosing Data Problems in Medical Imaging

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More ·Lakshmi Mahabaleshwara·3 days ago
#WczJqJsi
#freecodecamp#dataset#real#model#article#ama

I built a clean, well-structured deep learning pipeline using MONAI (Medical Open Network for AI) on a public abdominal ultrasound dataset. The pipeline included: proper subject-grouped train/validat

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Nvidia’s ISP piracy defense backfires as judge refuses to dismiss copyright lawsuit over more than 197,000 pirated books — scripts in NeMo Framework allegedly ‘have no other purpose’ than to speed up infringement
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Nvidia’s ISP piracy defense backfires as judge refuses to dismiss copyright lawsuit over more than 197,000 pirated books — scripts in NeMo Framework allegedly ‘have no other purpose’ than to speed up infringement

From Latest from Tom's Hardware: Nvidia’s ISP piracy defense backfires as judge refuses to dismiss copyright lawsuit over more than 197,000 pirated books — scripts in NeMo Framework allegedly ‘have no other purpose’ than to speed up infringement

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Fine-Tuning Gemma 4 with Cloud Run Jobs: Unlocking Serverless GPU Power for Pet Breed Classification with NVIDIA RTX 6000 Pro
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Fine-Tuning Gemma 4 with Cloud Run Jobs: Unlocking Serverless GPU Power for Pet Breed Classification with NVIDIA RTX 6000 Pro

DEV Community·Orbit Websites·about 1 month ago
#0XwwcCy4

From Dev.to - machinelearning: Fine-Tuning Gemma 4 with Cloud Run Jobs: Unlocking Serverless GPU Power for Pet Breed Classification with NVIDIA RTX 6000 Pro

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scRNA-seq batch correction UMAP integration

Reddit r/bioinformatics·u/shrubbyfoil·about 1 month ago
#wb65PCkR
#batch#correction#umap#donors#dataset#article

I want to get people's intuition if this dataset needs batch correction. It's single nucleus RNA sequencing of the human hippocampus across many donors. Some of the donors' cells are confined to corners of each cell type cluster on the UMAP.…

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Searching a too to generate a dataset

Reddit r/datasets·u/Substantial_Elk_2999·about 1 month ago
#Teyp2qrq

Hi everyone, I'm working on an anomaly detection project using logs from an all-in-one OpenStack deployment (Ansible-based). The logs come from multiple sources , and are collected via Fluentd and sent to OpenSearch.…

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[PAID] Built a real-time salary dataset from Fortune 500 Workday job postings — 100% US salary coverage because of pay transparency laws. Free sample available. [Disclosure: our product]

Reddit r/datasets·u/Sufficient-War-4020·about 1 month ago
#q5dLFO8j

my co-founder and i have been building this for a few months and wanted to share here . 150K-300K active job postings refreshed weekly, 100% US salary coverage, 22 structured fields including salary\_min, salary\_max, job\_category, remote\_type,…

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Fine-Tuning Gemma 4 with Cloud Run Jobs: Unlocking Serverless GPU Power with NVIDIA RTX 6000 Pro for Pet Breed Classification
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Fine-Tuning Gemma 4 with Cloud Run Jobs: Unlocking Serverless GPU Power with NVIDIA RTX 6000 Pro for Pet Breed Classification

DEV Community·Orbit Websites·about 1 month ago
#lkeEJZwi

From Dev.to - machinelearning: Fine-Tuning Gemma 4 with Cloud Run Jobs: Unlocking Serverless GPU Power with NVIDIA RTX 6000 Pro for Pet Breed Classification

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[Self-Promotion][Custom Dataset Infrastructure] Where public datasets keep falling short for production AI systems

Reddit r/datasets·u/Khade_G·about 1 month ago
#Eufy6YMf

Over the past few months, we’ve been helping teams source highly specific datasets that public benchmarks consistently miss. Some examples: \- Off-script voice agent conversations (interruptions, objections, mixed intent) \- Real human SaaS workflow…

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