Did Mathematics today specially vectors. > Find groups of similar sentences.> euclidean distance calculations.> vectorization using scikit.> Distance Heatmap

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Automatic Vectorization (vmap) in action: Write a program once, then use it for any batched input. If applied correctly, this can greatly reduce the number of for-loops and speed up a program. 🎓 Learn more about visualizing program transformations:

Step 1 : Ideation/Sketch .Step 2 : Vectorization .Step 3 : Background addition and colour fill. That's how it's done. 🙂. Expect more stunning stuff from this project.

An Orthomosaic is georeferenced, rectified and true to the ground. It is created from stitching thousands of overlapping images. The resulting product is very useful for extracting measurements and vectorization of plannimetric features, like buildings and roads.

Day 19 . ▪️ Vectorization . ▪️ Matrix Multiplication . ▪️ TensorFlow Implementation

Here is How Loop Vectorization Boost Performance in CPU.

yo this paper was on simd & vectorization. where did all the mathematical notation come from 😭🥀

Continued Learning AI from Andrew Ng -Learnt Gradient Descent for Multiple Regression and Vectorization-2hrs. Did One Question on Leetcode After Understanding Solution -Q 1717 -1 hr. Went To Gym -1hr 20 mins. Recorded Video Of Myself On Interesting Topics. Time For Tommorow. 😊

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Wrote a blog on refactoring a Zig standard library method to trigger LLVM's auto-vectorization and getting it to generate SIMD output.

When somebody tells you that code vectorization doesn't always mean faster code.

Top AI Algorithms Guide. AI algorithms power various applications, from text analysis to image recognition. Here’s a breakdown of essential AI techniques. 1. Text Analysis.Extracts insights from text data using topic modeling, word vectorization, and text preprocessing for NLP

Stop writing slow Python! 🚀. @numpy_team .Master np.vectorize() & true NumPy vectorization. Speed up code, clean up logic. 👉 Dive in: #Python #NumPy #AI

New data oriented file format just dropped. FastLanes, "like Parquet, but with 40% better compression and 40× faster decoding". 👀. Seems it can exploit correlations between columns and have fully SIMD friendly encodings to help with vectorization.

Efficiency in data platforms, especially with GPUs, is crucial for cost management and optimizing CPU and GPU resource utilization. #DataPlatform #Efficiency #GPU #Snowflake #DataAnalytics #Innovation #DataProcessing #TechTalk #BigData #Vectorization @

auto-vectorization is really unhelpful sometimes. I wonder if that's why v3 and v4 were worse?

Timeline is doing very well right now. Hard hitting takes on topics ranging from welding techniques to anthropic’s vectorization of all human proclivities.

🔥dro is here: The First Comprehensive Python Package for Distributionally Robust ML! .✅ 79 DRO methods (14 formulations × 9 models).✅ PyTorch/scikit-learn compatibility.✨ 10~1000x speedup via vectorization. Check #MachineLearning #RobustAI