NumCpp
Protobuf
NumCpp | Protobuf | |
---|---|---|
4 | 174 | |
3,383 | 63,657 | |
- | 0.5% | |
6.4 | 10.0 | |
5 months ago | 5 days ago | |
C++ | C++ | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NumCpp
-
Machine Learning using C++ vs Python
Yeah, as someone who writes C++ daily for their ML related job, I concur that the cost of executing a convolutions dwarves the overhead of calling from Python. So as much as I like C++ over Python (because static compilation to find little typos or type mismatches ahead of time is much nicer than exploding 5 minutes later into my batched vision recognition problem š ), generally for small problems, Python is a nice quick and dirty approach. I do have my eye though on this little C++ numpy clone.
-
Can i use numpy with c or c++ ?
Despite being written in C itself, the primary external API is for Python, and though it is possible to call via C, it's quite ungainly (several ref-counted Py_* calls and structs). It's probably easier to just consume a library that targets C++ directly like xtensor (https://xtensor.readthedocs.io/en/latest/numpy.html) or NumCpp (https://github.com/dpilger26/NumCpp).
-
trouble with linspace functions
I am trying to feed 2 different 3 column 1 row arrays into a linspace function using the NumCPP package, but i'm getting errors such as:
- Read python pickle files in C++
Protobuf
-
Hitting every branch on the way down
It's because they changed the versioning format: https://github.com/protocolbuffers/protobuf/releases?page=5
But I suppose old version still receive bugfixes.
-
Reverse Engineering Protobuf Definitions from Compiled Binaries
For at least 4 years protobuf has had decent support for self-describing messages (very similar to avro) as well as reflection
https://github.com/protocolbuffers/protobuf/blob/main/src/go...
Xgooglers trying to make do on the cheap will just create a Union of all their messages and include the message def in a self-describing message pattern. Super-sensitive network I/O can elide the message def (empty buffer) and any for RecordIO clone well file compression takes care of the definition.
Definitely useful to be able to dig out old defs but protobuf maintainers have surprisingly added useful features so you donāt have to.
Bonus points tho for extracting the protobuf defs that e.g. Apple bakes into their binaries.
- Show HN: AuthWin ā Authenticator App for Windows
-
Create Production-Ready SDKs With gRPC Gateway
gRPC Gateway is a protoc plugin that reads gRPC service definitions and generates a reverse proxy server that translates a RESTful JSON API into gRPC.
-
Create Production-Ready SDKs with Goa
To use more recent versions of protoc in future applications, you can download them from the Protobuf repository.
-
Roll your own auth with Rust and Protobuf
Use the Protobuf CLI protoc and the plugin protoc-gen-tonic.
-
Add extra stuff to a āstandardā encoding? Sure, why not
> didnāt find any standard for separating protobuf messages
The fact that protobufs are not self-delimiting is an endless source of frustration, but I know of 2 standards:
- SerializeDelimited* is part of the protobuf library: https://github.com/protocolbuffers/protobuf/blob/main/src/go...
- Riegeli is "a file format for storing a sequence of string records, typically serialized protocol buffers. It supports dense compression, fast decoding, seeking, detection and optional skipping of data corruption, filtering of proto message fields for even faster decoding, and parallel encoding": https://github.com/google/riegeli
-
Block YouTube Ads on AppleTV by Decrypting and Stripping Ads from Profobuf
It looks like it is in fact universal. Just glancing at the code here, it looks like the tool searches any arbitrary file for bytes that look like encoded protobuf descriptors, specifically looking for bytes that are plausibly the beginning of a FileDescriptorProto message defined here:
https://github.com/protocolbuffers/protobuf/blob/main/src/go...
This takes advantage of the fact that such descriptors are commonly compiled into programs that use protobuf. The descriptors are usually embedded as constant byte arrays. That said, not all protobuf implementations embed the descriptors and those that do often have an option to inhibit such embedding (at the expense of losing some dynamic introspection features).
- How to learn to use protoc in 21 easily infuriating steps
-
What's involved in protobuf encoding?
Not much. You can check the source code in https://github.com/protocolbuffers/protobuf. For example, for serializing a boolean in C#: https://github.com/protocolbuffers/protobuf/blob/main/csharp/src/Google.Protobuf/WritingPrimitives.cs#L165. Strings and objects are a bit more complicated, but it is all about turning the data into its byte representation.
What are some alternatives?
eigen
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
RxCpp - Reactive Extensions for C++
SBE - Simple Binary Encoding (SBE) - High Performance Message Codec
examples - Example data structures and algorithms
MessagePack - MessagePack implementation for C and C++ / msgpack.org[C/C++]
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
cereal - A C++11 library for serialization
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star š if it helps you.
Apache Parquet - Apache Parquet
casadi - CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
Bond - Bond is a cross-platform framework for working with schematized data. It supports cross-language de/serialization and powerful generic mechanisms for efficiently manipulating data. Bond is broadly used at Microsoft in high scale services.