tak-ka3's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
emscripten-core/emscripten
Emscripten: An LLVM-to-WebAssembly Compiler
wasmerio/wasmer
🚀 The leading Wasm Runtime supporting WASIX and WASI
bytecodealliance/wasmtime
A lightweight WebAssembly runtime that is fast, secure, and standards-compliant
arialdomartini/Back-End-Developer-Interview-Questions
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
exaloop/codon
A high-performance, zero-overhead, extensible Python compiler using LLVM
Tencent/rapidjson
A fast JSON parser/generator for C++ with both SAX/DOM style API
pyodide/pyodide
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
OpenMined/PySyft
Perform data science on data that remains in someone else's server
iovisor/bpftrace
High-level tracing language for Linux eBPF
falcosecurity/falco
Cloud Native Runtime Security
mit-pdos/xv6-riscv
Xv6 for RISC-V
runfinch/finch
The Finch CLI is an open source client for container development
google/differential-privacy
Google's differential privacy libraries.
frankmcsherry/blog
Some notes on things I find interesting and important.
tensorflow/privacy
Library for training machine learning models with privacy for training data
pytorch/opacus
Training PyTorch models with differential privacy
cnlohr/mini-rv32ima
A tiny C header-only risc-v emulator.
improbable-eng/ts-protoc-gen
Protocol Buffers Compiler (protoc) plugin for TypeScript and gRPC-Web.
hhatto/gocloc
A little fast cloc(Count Lines Of Code)
oauthinaction/oauth-in-action-code
Source code for OAuth 2 in Action
picoruby/picoruby
PicoRuby is the smallest Ruby implementation for one-chip microcontrollers
OpenMined/PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
keystone-enclave/keystone
Keystone Enclave (QEMU + HiFive Unleashed)
uvm-plaid/programming-dp
OpenMined/PipelineDP
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
travisjeffery/proglog
grpc log service example project
chipsalliance/silicon-notebooks
AmbiML/sparrow-manifest
Project Sparrow: Repo Materials
bufbuild/connect-go
Moved to https://github.com/connectrpc/connect-go