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Public APIs

Appears in 5 awesome lists

A comprehensive list of free APIs for various purposes.

Open github.compublic-apis/public-apis

Found in these lists

Awesome Data Analysis

Section: Additional Resources and Tools · A comprehensive list of free APIs for various purposes.

FreshScore 80

awesome-python

Section: Other · A collective list of free APIs

FreshScore 81

DeFi Developer Road Map

Section: Further Readings

FreshScore 83

Lists

Section: Technical · JSON APIs for use in web development.

SlowScore 73

Spark Joy

Section: Mock APIs

ArchivedScore 54

Awesome Machine Learning

The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.

In 15 listsDetails

Free Programming Books

books: Freely available programming books

In 7 listsDetails

Contributors

🟪 - A complete study plan for a computer science education.

In 7 listsDetails

Awesome Artificial Intelligence

Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.

In 7 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

LlamaIndex

(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.

In 14 listsDetails

Awesome Math

🟪 - Another awesome list for mathematics, useful generally but often applicable to programming.

In 6 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails