Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev. Learn more →
Top 23 C++ Python Projects
-
Project mention: 🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬 | dev.to | 2023-11-06
To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐
-
Project mention: FlatBuffers – an efficient cross platform serialization library for many langs | news.ycombinator.com | 2023-09-18
-
InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
-
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Click to Learn more...
-
-
Kodi Home Theater Software
Kodi is an award-winning free and open source home theater/media center software and entertainment hub for digital media. With its beautiful interface and powerful skinning engine, it's available for Android, BSD, Linux, macOS, iOS, tvOS and Windows.
-
MMKV
An efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, and POSIX.
This library uses MMKV key-value storage and JSI to communicate between the JS side and the native side very quickly and synchronously. It is a suitable replacement for slow AsyncStorage. Follow this guide to migrate from AsyncStorage and get 30x faster on read and write operations in your app.
-
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Project mention: SIRUS.jl: Interpretable Machine Learning via Rule Extraction | /r/Julia | 2023-06-29SIRUS.jl is a pure Julia implementation of the SIRUS algorithm by Bénard et al. (2021). The algorithm is a rule-based machine learning model meaning that it is fully interpretable. The algorithm does this by firstly fitting a random forests and then converting this forest to rules. Furthermore, the algorithm is stable and achieves a predictive performance that is comparable to LightGBM, a state-of-the-art gradient boosting model created by Microsoft. Interpretability, stability, and predictive performance are described in more detail below.
-
Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
-
Project mention: Microsoft free training on AI, IOT, Machine Learning and Data Science | /r/buhaydigital | 2023-06-14
2️⃣ IOT Check this out 👇 https://microsoft.github.io/IoT-For-Beginners
-
I'm investigating using C++ to build a REST server, and would love to know of people's experiences with Crow-- or whether they would recommend something else as a "medium-level" abstraction C++ web server. As background, I started off experimenting with Python/FastAPI, which is great, but there is too much friction to translate from pybind11-exported C++ objects to the format that FastAPI expects, and, of course, there are inherent performance limitations using Python, which could impact scaling up if the project were to be successful.
-
I found at least one project that managed to compile python AOT to LLVM https://github.com/exaloop/codon. Even if LLVM is more expressive than Dart Kernel, that should at least be some evidence that this might not be too impractical.
-
Project mention: Modern Image Processing Algorithms Implementation in C | news.ycombinator.com | 2023-06-06
-
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
The focus on the top 10 in vector search is a product of wanting to prove value over keyword search. Keyword search is going to miss some conceptual matches. You can try to work around that with tokenization and complex queries with all variations but it's not easy.
Vector search isn't all that new a concept. For example, the annoy library (https://github.com/spotify/annoy) has been around since 2014. It was one of the first open source approximate nearest neighbor libraries. Recommendations have always been a good use case for vector similarity.
Recommendations are a natural extension of search and transformers models made building the vectors for natural language possible. To prove the worth of vector search over keyword search, the focus was always on showing how the top N matches include results not possible with keyword search.
In 2023, there has been a shift towards acknowledging keyword search also has value and that a combination of vector + keyword search (aka hybrid search) operates in the sweet spot. Once again this is validated through the same benchmarks which focus on the top 10.
On top of all this, there is also the reality that the vector database space is very crowded and some want to use their performance benchmarks for marketing.
Disclaimer: I am the author of txtai (https://github.com/neuml/txtai), an open source embeddings database
-
DearPyGui
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
If it's just to align text in the centre or to the right of a box, you could use a button and, by using theming, hide the fact that it's a button. https://github.com/hoffstadt/DearPyGui/issues/1111
-
-
Project mention: Does anyone else agree that the links to the latest development version of Open3D don't work? | /r/cscareerquestions | 2023-07-10
I was going to file a bug about another issue, but I have to download the development version. This is why I want this solved quickly. None of the links seem to work: https://github.com/isl-org/Open3D/issues/6259
-
assimp
The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.
Project mention: The Asset-Importer-Lib Minor Release Version 5.3.0 is out | /r/GraphicsProgramming | 2023-09-26 -
Project mention: Microsoft launches Windows App for accessing PCs in the cloud from any device | news.ycombinator.com | 2023-11-16
Moonlight + Sunshine for a self hosted solution, works with every OS
-
perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Yes. We are working on adding support for aggregation and pivoting using https://github.com/finos/perspective
-
esphome
ESPHome is a system to control your ESP8266/ESP32 by simple yet powerful configuration files and control them remotely through Home Automation systems.
ESPHome
-
The interesting thing about Polars is that it does not try to be a drop-in replacement to pandas, like Dask, cuDF, or Modin, and instead has its own expressive API. Despite being a young project, it quickly got popular thanks to its easy installation process and its “lightning fast” performance.
-
Yet another TEDIOUS BATTLE: Python vs. C++/C stack.
This project gained popularity due to the HIGH DEMAND for running large models with 1B+ parameters, like `llama`. Python dominates the interface and training ecosystem, but prior to llama.cpp, non-ML professionals showed little interest in a fast C++ interface library. While existing solutions like tensorflow-serving [1] in C++ were sufficiently fast with GPU support, llama.cpp took the initiative to optimize for CPU and trim unnecessary code, essentially code-golfing and sacrificing some algorithm correctness for improved performance, which isn't favored by "ML research".
NOTE: In my opinion, a true pioneer was DarkNet, which implemented the YOLO model series and significantly outperformed others [2]. Same trick basically like llama.cpp
-
DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Another option is DALI https://github.com/NVIDIA/DALI For my project while training EfficientNet2, it was a game changer. But it a way harder to implement in code than TorchVision or Kornia.
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-12-07.
C++ Python related posts
- Consejo para un FullStack??
- I'm trying to figure out what language to learn to grasp the software engineering concept
-
redpanda VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
- how much leetcode are you grinding daily?
- Beginner need help
- Advice on getting a job if I have no qualifications
- How are zlib, gzip and zip related?
-
A note from our sponsor - Onboard AI
getonboard.dev | 8 Dec 2023
Index
What are some of the best open-source Python projects in C++? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 179,270 |
| 2 | FlatBuffers | 21,459 |
| 3 | PaddlePaddle | 21,096 |
| 4 | CNTK | 17,417 |
| 5 | Kodi Home Theater Software | 16,610 |
| 6 | MMKV | 16,389 |
| 7 | LightGBM | 15,699 |
| 8 | IoT-For-Beginners | 13,977 |
| 9 | pybind11 | 13,861 |
| 10 | codon | 13,494 |
| 11 | Dlib | 12,426 |
| 12 | annoy | 12,228 |
| 13 | DearPyGui | 11,520 |
| 14 | turicreate | 11,122 |
| 15 | Open3D | 9,805 |
| 16 | assimp | 9,777 |
| 17 | Sunshine | 8,476 |
| 18 | perspective | 6,992 |
| 19 | esphome | 6,865 |
| 20 | cudf | 6,674 |
| 21 | serving | 5,986 |
| 22 | DALI | 4,716 |
| 23 | MegEngine | 4,649 |
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com