12 awesome lists, ranked by quality score.
paperswithbacktest/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
EbookFoundation/free-programming-books
:books: Freely available programming books
dariubs/GoBooks
List of Golang books
738/awesome-devbook
📕 국내 개발 도서 리스트
RichardLitt/awesome-fantasy
:european_castle: Fantasy literature worth reading
chobeat/awesome-critical-tech-reading-list
A reading list for the modern critical programmer
hackerkid/Mind-Expanding-Books
:books: Find your next book to read!
Jason2Brownlee/awesome-llm-books
Awesome LLM Books: Curated list of books on Large Language Models
mmcgrana/services-engineering
A reading list for services engineering, with a focus on cloud infrastructure services
sger/ElixirBooks
List of Elixir books
TalAter/awesome-book-authoring
:books: A collection of awesome resources for technical book authors
romantseg/rbooks
A curated list of #rstats books
Ranked by how many lists include them and how good those lists are.
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.
(label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
High-level, beginner-friendly API that now runs on multiple backends (TensorFlow, JAX, PyTorch). Perfect for rapid experimentation.
High-performance numerical computing with composable transformations (JIT, vmap, grad). Rising favorite for research and scientific ML.
Efficiently run SQL queries on pandas DataFrame, duckplyr for R, Great Intro. ducklake - Duckdb extention for storing data in a datalake. fireducks - Speedier alternative to pandas with similar API. pandasvault - Large collection of pandas tricks. polars - Multi-threaded alternative to pandas.…