Awesome AI in Finance
Section: Traditional Market · A python algorithmic trading library.
Entry
Appears in 6 awesome lists
| Python | - Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.
Section: Traditional Market · A python algorithmic trading library.
Section: Python · A Pythonic algorithmic trading library.
Section: Other · Zipline, a Pythonic Algorithmic Trading Library
Section: Trading & Backtesting · Python - Pythonic algorithmic trading library.
Section: General - Event Driven Frameworks · Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.
Section: General purpose · | Python | - Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.
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
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.
Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.
(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.
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…
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
(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.