Awesome Data Analysis
Section: Resources · Curated roadmap of seminal deep learning papers for newcomers.
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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Section: Resources · Curated roadmap of seminal deep learning papers for newcomers.
Section: Other · Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Section: AI / Machine Learning / Data Science · Reading roadmap through influential deep learning papers.
Section: Deep Learning
Section: Roadmaps
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.
books: Freely available programming books
A curated list of awesome Deep Learning tutorials, projects and communities.
Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.
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…
(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.
🟪 - Another awesome list for mathematics, useful generally but often applicable to programming.
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).