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Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
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Feb 14, 2023
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MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
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Nov 21, 2022
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📚 A curated list of papers for Software Engineers
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Jan 3, 2023
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Accelerated deep learning R&D
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Jan 25, 2023
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A library of reinforcement learning components and agents
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Feb 10, 2023
Python
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Feb 11, 2023
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Turn Python scripts into handouts with Markdown and figures
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Aug 28, 2021
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Scenic: A Jax Library for Computer Vision Research and Beyond
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Feb 13, 2023
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Shared repository for open-sourced projects from the Google AI Language team.
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Feb 14, 2023
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A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
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Nov 6, 2022
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YACS -- Yet Another Configuration System
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Apr 13, 2022
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Repository for few-shot learning machine learning projects
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Nov 25, 2019
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A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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Feb 14, 2023
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PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
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Jan 19, 2022
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Karta - source code assisted fast binary matching plugin for IDA
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Mar 15, 2022
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Mastering Atari with Discrete World Models
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Jan 21, 2023
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PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.
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Feb 8, 2023
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All-in-one Toolbox for Computer Vision Research.
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Jan 7, 2022
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Machine Learning on Sequential Data Using a Recurrent Weighted Average
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Feb 24, 2020
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High Fidelity Simulator for Reinforcement Learning and Robotics Research.
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Feb 19, 2022
Python
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