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1. WI21_Natural-Language-Processing-with-Deep-Learning_StanfordCS224N WI21_Natural-Language-Processing-with-Deep-Learning_StanfordCS224N Public

   Methods for processing human language information and the underlying computational properties of natural languages. Focus on deep learning approaches: understanding, implementing, training, debuggi…

   Python

2. FA18_NLP-Classifying-Toxicity-in-Wikipedia-Comments_UCSDLIGN167 FA18_NLP-Classifying-Toxicity-in-Wikipedia-Comments_UCSDLIGN167 Public

   Implementatoin of a multi-headed NLP model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate better than Perspective’s current mod…

   Python

3. FA20_DL-Paint-Like-Vincent-VanGogh_StanfordCS230 FA20_DL-Paint-Like-Vincent-VanGogh_StanfordCS230 Public

   Our team uses Deep Learning approaches to map from dataset Vincent Van Gogh to dataset real photo in the respect of artistic style and content. Given any content input image, our first algorithm ou…

   Jupyter Notebook 2

4. FA19_Software-Development-for-Scientists-and-Engineers_StanfordCME211 FA19_Software-Development-for-Scientists-and-Engineers_StanfordCME211 Public

   Basic usage of the Python and C/C++ programming languages are introduced and used to solve representative computational problems from various science and engineering disciplines. Software design pr…

   Python

5. WI21_Reinforcement-Learning-for-Stochastic-Control-Problems-in-Finance_StanfordCME241 WI21_Reinforcement-Learning-for-Stochastic-Control-Problems-in-Finance_StanfordCME241 Public

   Forked from TikhonJelvis/RL-book

   This course explores a few problems in Mathematical Finance through the lens of Stochastic Control, such as Portfolio Management, Derivatives Pricing/Hedging and Order Execution. For each of these …

   Python 6 2

6. FA18_NLP-Deep-Learning-for-Natural-Language-Understanding_UCSDLIGN167 FA18_NLP-Deep-Learning-for-Natural-Language-Understanding_UCSDLIGN167 Public

   An introduction to neural network methods for analyzing linguistic data. Basic neural network architectures and optimization through backpropagation and stochastic gradient descent. Word vectors an…

   Jupyter Notebook