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cyda
- Hong Kong
- https://blog.cyda.hk/
Highlights
Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
An Open Source Machine Learning Framework for Everyone
Interactive Data Visualization in the browser, from Python
Google Research
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A game theoretic approach to explain the output of any machine learning model.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Apache Spark - A unified analytics engine for large-scale data processing
The Web framework for perfectionists with deadlines.
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 …
Scrapy, a fast high-level web crawling & scraping framework for Python.
Streamlit — A faster way to build and share data apps.
Apache Superset is a Data Visualization and Data Exploration Platform
scikit-learn: machine learning in Python
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
An opinionated list of Python frameworks, libraries, tools, and resources.
Hunt down social media accounts by username across social networks
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
We have made you a wrapper you can't refuse
Speech recognition module for Python, supporting several engines and APIs, online and offline.
An implementation of the Grammar of Graphics in R
Data Apps & Dashboards for Python. No JavaScript Required.
A toolkit for developing and comparing reinforcement learning algorithms.