Python code find top most similar row pairs in matrix

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I am ready to kick off the project right now, implementing an efficient Python code utilizing faiss or hnswlib or annoy, ensuring speed and optimal RAM usage. My approach will focus on finding the top K (e.g., 3000) most and least similar rows in the numpy matrix of 900,000 rows and 1000 columns, using cosine similarity. I will validate the results against the ground truth provided by sklearn.metrics.pairwise.cosine_similarity. With a commitment to fast, accurate, and memory-efficient solutions, I look forward to delivering outstanding outcomes for this task.

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Hi! I understand you are looking for a Python code find top most similar row pairs in matrix and I believe I am the perfect fit for this project. With over 8+ years of experience in web development, I have the expertise necessary to develop the necessary python code to effectively find top K (for example 3000) most similar rows and least similar rows. My self-motivated nature and strong focus on business goals make me an ideal candidate for this project. Additionally, my commitment to quality assurance and end-user experience make me an accurate fit for your needs. I believe that my combination of skillset (including knowledge of Web marketing, Web 2.0, search engine optimization (SEO)) along with client satisfaction making me the right choice for this project. If you would like to discuss further please don't hesitate to reach out!

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Hi there yes I am expert in PYTHON and I can help you out for sure Kindly send me a message we'll discuss further Looking forward to hear you Thank you

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Hello. I read your requirement i will do that. Please come on chat we will discuss more about this. I will waiting your reply.

Hi, iam data analyst and python developer. Can you please share the numpy array and let me work on this code optimization. Looking forward to discuss further details Thanks

Hello, my name is Vishruth and I am a software developer with 4 years of experience in machine learning, automation, integration. I understand that you are looking for a way to find top K most similar rows in a 900000 row by 1000 column numpy matrix so that the similarity measure is based on cosine similarity. I believe that my skillset make me the best fit for this project - specifically my expertise in Python makes it possible for me to quickly develop an automated system that can perform the task 24/7 as per requirements without any issues. I would love the opportunity to discuss further how my skillset can meet your needs and bring your project success. Please feel free to contact me directly if there is anything else you would like to know about me or my skillset.

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Hello, I read through, and I can help you with this project WITHIN THE 2 DAYS DEADLINE. I am a seasoned Python developer, and with my skills set, you can entrust me with 100% project delivery. I have a deep understanding of Python and libraries like Pandas, Numpy, Scipy, Plotly, scikit, re, poetry etc Kindly text me over the chats we discuss further. Thank you Note: Bid Amount and timeline is just a placeholder actual value would be provided after 1 on 1 discussion over chat.

Helloo sir I think I can help, Certainly! To achieve this, we can use the faiss library, which is optimized for fast similarity search. Ping me Thanks

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Hi there, I am Abdul Basit, and I specialize in crafting efficient solutions for complex data tasks. I propose to develop a high-performance Python code using Faiss, Hnswlib, or Annoy to swiftly identify the top 3000 most and least similar rows within a numpy matrix of 900,000 rows and 1000 columns, utilizing cosine similarity. This solution guarantees speed, accuracy, and compatibility across both Windows and Unix environments. Regards, Abdul Basit Kreative Solutions

Hello Sir, I hope you are doing well. I will be able to help you with your project. I read through the description and it sounds like I am just the right person for it. I have the right skill set with sophisticated experience in Python, Software Development, Machine Learning (ML) and deep learning in both Tensorflow and Pytorch, NLP, Object Detection, OpenCV,Reinforcement Learning, TIME SERIES FORECASTING. Project List Object Detection algorithms(MASK RCNN , Faster RCNN. SSD, YOLO all variants) used for various projects created 3d maskRcnn for CT scan data for lung nodule customized yolo for wheat grain defect detection more than 300+ grains in single image traffic count along with all direction, Included four way as well segformer for satelite data segmentation. yolo based card game site website analyzer working with non rgb dataset, advance mask detection with safety and privacy measures scene graph generation based on yolo CNN project list. ODIR recognition(competitive results) Leaf disease detection android app Medicle related projects lung cancer nodule as mentioned above edema detection(paper implementation) oDIR recognition working with X_ray images other projects stable diffusion time series forecasting we have worked on lot of projects including all the above projects I am looking forward to working with you and if you have any further questions I would be happy to answer them. Best regards,