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quantstats

Appears in 4 awesome lists

| Python | - Portfolio analytics for quants, written in Python

Open github.comranaroussi/quantstats

Found in these lists

awesome-python

Section: Other · Portfolio analytics for quants, written in Python

FreshScore 81

Awesome Quant

Section: Trading & Backtesting · Python - Portfolio analytics for quants, written in Python.

FreshScore 91

Libraries and packages

Section: Metrics computation · Portfolio analytics for quants, written in Python

FreshScore 86

Awesome Systematic Trading

Section: Metrics computation · | Python | - Portfolio analytics for quants, written in Python

FreshScore 89

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

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

AutoGen

Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.

In 14 listsDetails