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stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Build and share delightful machine learning apps, all in Python. š Star to support our work!
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Techniques for deep learning with satellite & aerial imagery
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Deep Learning for humans
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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The fastai deep learning library
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š¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatboā¦
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Machine Learning Toolkit for Kubernetes
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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Statistical Machine Intelligence & Learning Engine
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scikit-learn: machine learning in Python
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š A ranked list of awesome machine learning Python libraries. Updated weekly.
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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 diveā¦
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FinRLĀ®: Financial Reinforcement Learning. š„
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Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System,ā¦