BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
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PyengPython for engineers
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Applied Dl 2018Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
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Tf2 courseNotebooks for my "Deep Learning with TensorFlow 2 and Keras" course
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PycroscopyScientific analysis of nanoscale materials imaging data
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Cs231nhomework for CS231n 2017
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Deep LearningDeep Learning Application Examples
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Python camppython code for pratice
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Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
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D6tstackQuickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
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AlphatradingAn workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
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Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
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100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
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MainCS579: Online Social Network Analysis at the Illinois Institute of Technology
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Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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AltaThe Art of Literary Text Analysis
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AnimlReproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
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SqlcellSQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.
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SelfconsistencyCode for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency
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Pachong一些爬虫的代码
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CiteomaticA citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.
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Deep and machine learning projectsThis Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
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Testbook🧪 📗 Unit test your Jupyter Notebooks the right way
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DisprcnnCode release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)
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Recurrent neural networkThis is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
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Pandas tutorialPandas tutorial for SciPy2015 and SciPy2016 conference
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TextbookPrinciples and Techniques of Data Science, the textbook for Data 100 at UC Berkeley
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Deepschool.ioDeep Learning tutorials in jupyter notebooks.
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RlossRegularized Losses (rloss) for Weakly-supervised CNN Segmentation
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Data structures and algorithms in python📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
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