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All-Reduce and Ring-Reduce for Model Synchronization in Multi-GPU Training
Two synchronization algorithms for intermediate-ML models.
Jul 25
23
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All-Reduce and Ring-Reduce for Model Synchronization in Multi-GPU Training
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What Happens When You Append Rows to a Pandas DataFrame
Understanding the internal working of Pandas DataFrame.
Jul 23
•
Avi Chawla
23
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What Happens When You Append Rows to a Pandas DataFrame
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4
ANN-driven KMeans with Faiss
20x speedup over sklearn.
Jun 28
•
Avi Chawla
17
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ANN-driven KMeans with Faiss
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A Misconception About Pandas Inplace
The counterintuitive behaviour of inplace operations.
Jun 18
•
Avi Chawla
30
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A Misconception About Pandas Inplace
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4 Strategies for Multi-GPU Training
...explained visually.
Jun 7
•
Avi Chawla
25
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4 Strategies for Multi-GPU Training
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Knowledge Distillation for Model Compression
A practical walkthrough
Jun 4
•
Avi Chawla
23
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Knowledge Distillation for Model Compression
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Scale tSNE to Millions of Data Points With openTSNE
An optimized CPU implementation of tSNE.
Jun 3
•
Avi Chawla
20
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Scale tSNE to Millions of Data Points With openTSNE
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I/O Optimization in Data Projects
If you use CSVs all the time, read this.
May 31
•
Avi Chawla
37
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I/O Optimization in Data Projects
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5 LLM Fine-tuning Techniques Explained Visually
Explained in a beginner-friendly way.
May 30
•
Avi Chawla
41
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5 LLM Fine-tuning Techniques Explained Visually
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6 Elegant Jupyter Hacks
Jupyter is cool. Let's make it super cool.
May 26
•
Avi Chawla
66
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6 Elegant Jupyter Hacks
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Accelerate tSNE with GPU
Over 30x faster tSNE than Sklearn.
May 24
•
Avi Chawla
24
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Accelerate tSNE with GPU
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Accelerate Pandas with GPU Using RAPIDS cuDF
...without any code changes.
May 19
•
Avi Chawla
25
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Accelerate Pandas with GPU Using RAPIDS cuDF
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