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babycamel / advfish
Forked from fdd-eiu/afewAdvanced Fisheries Economics Workshop Training materials
[ECCV 2024] GVGEN: Text-to-3D Generation with Volumetric Representation
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Curated list of project-based tutorials
A collection of ORE related materials to share with the community
Package for extracting emotions from social media text. Tailored for financial data.
All Algorithms implemented in Python
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
A list of online resources for quantitative modeling, trading, portfolio management
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Portfolio analytics for quants, written in Python
A curated list of practical financial machine learning tools and applications.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
High-performance TensorFlow library for quantitative finance.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
Collection of notebooks about quantitative finance, with interactive python code.
Python wrapper for TA-Lib (http://ta-lib.org/).
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Financial data platform for analysts, quants and AI agents.