Explore tweets tagged as #SharpEye
a beautiful morning lads - reading some papers around anomaly detection, used arxiv’s agent on bhindiai - thinking of learning a database, mostly postgres - changed my github username dont know why lol
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was working on something and found this amazing repo for machine learning interview prep , take a look if you want
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That Aaronson is useless, loses the ball too much and has no strength to hold defenders 😂😂🤣🤣🤣🤣
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Experimenting with visualizing Wi-Fi signal behavior using ESP32 and Python. wireless signal data is captured on the ESP32, streamed in real time, and rendered as live graphs and a reactive visual layer. Part of an exploration into how wireless signals behave in real
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timelapse {#32} - pulled another allnighter - labs from deeplearning[.]io - now that i have basic knowledge of pytoch, implementing these labs to get good knowledge
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had a good start to the year - implemented few more labs from deeplearning[.]ai - started reading the almanack of Naval Ravikant - will also start learning javascript in a day or two
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starting with this bad boy tonight. thanks to @sharpeye_wnl for the book. also, any tips on how i should approach it?
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built a multi-agent voting system using FastAPI with help from blackboxai -three agents independently generate answers to the same prompt -a judge agent compares them and recommends the best one -simple heuristics like clarity + response length decide the winner -also built a
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Since most of you guys are new to X Here are some "Cracked Devs" you can checkout they are gooood @karaan_dev [ crazy good designer ] @code_kartik
@d4rsh_tw <- founder of one of the best communities here on X @AbhinavXJ
@sharpeye_wnl
@zzzzshawn [ Just crazy ] @akramcodez
Instead - Learn a Skill ( Be good at one thing rather than avg at all ) - Build a Product in Public - Do Open-Source [ 1 open source project can teach you more stuff than clg ] - Do Freelancing Even 1 month of Unpaid Internship can ruin your language if you are working more
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timelapse {#33} - started working with convolutional neural networks - build a custom cnn pipeline on mnist dataset - was using bhindiai all along to explain me the code - speed ran the theory part, focus was main on the implementation
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