Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooksโ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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๐Ÿ”ฅ Trending Repository: wireguard-fpga

๐Ÿ“ Description: Full-throttle, wire-speed hardware implementation of Wireguard VPN, using low-cost Artix7 FPGA with opensource toolchain. If you seek security and privacy, nothing is private in our codebase. Our door is wide open for backdoor scrutiny, be it related to RTL, embedded, build, bitstream or any other aspect of design and delivery package. Bujrum!

๐Ÿ”— Repository URL: https://github.com/chili-chips-ba/wireguard-fpga

๐ŸŒ Website: https://nlnet.nl/project/KlusterLab-Wireguard

๐Ÿ“– Readme: https://github.com/chili-chips-ba/wireguard-fpga#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 936 stars
๐Ÿ‘€ Watchers: 21
๐Ÿด Forks: 15 forks

๐Ÿ’ป Programming Languages: Verilog - SystemVerilog - C++ - C - Assembly - Python

๐Ÿท๏ธ Related Topics:
#embedded #fpga #iss #vpn #rtl #verilog #risc_v #wireguard #verilator #cocotb #vproc


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: sherpa-onnx

๐Ÿ“ Description: Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 12 programming languages

๐Ÿ”— Repository URL: https://github.com/k2-fsa/sherpa-onnx

๐ŸŒ Website: https://k2-fsa.github.io/sherpa/onnx/index.html

๐Ÿ“– Readme: https://github.com/k2-fsa/sherpa-onnx#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 7.8K stars
๐Ÿ‘€ Watchers: 92
๐Ÿด Forks: 908 forks

๐Ÿ’ป Programming Languages: C++ - Python - Shell - JavaScript - Kotlin - Dart

๐Ÿท๏ธ Related Topics:
#android #windows #macos #linux #lazarus #raspberry_pi #ios #text_to_speech #csharp #cpp #dotnet #speech_to_text #aarch64 #mfc #risc_v #object_pascal #asr #arm32 #onnx #vits


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๐Ÿง  By: https://t.iss.one/DataScienceM