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Dat8General Assembly's 2015 Data Science course in Washington, DC
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NlpythonThis repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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Rl learn我的强化学习笔记和学习材料📖 still updating ... ...
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Aleph starReinforcement learning with A* and a deep heuristic
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Matterport3dsimulatorAI Research Platform for Reinforcement Learning from Real Panoramic Images.
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Malaya Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
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AdaptnlpAn easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
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Trading BotStock Trading Bot using Deep Q-Learning
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Popular Rl AlgorithmsPyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
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TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
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ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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BertvizTool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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RadRAD: Reinforcement Learning with Augmented Data
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Text summarization with tensorflowImplementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
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Nlp TutorialTutorial: Natural Language Processing in Python
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RlquantApplying Reinforcement Learning in Quantitative Trading
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Arxivtimesrepository to research & share the machine learning articles
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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Practical PytorchGo to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
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