Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
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Introduccion a python Curso onlineRepositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.
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Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
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Ml Training AdvancedMaterials for the "Advanced Scikit-learn" class in the afternoon
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PycroscopyScientific analysis of nanoscale materials imaging data
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PyrevolutionPython tutorials and puzzles to share with the world!
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Cs231nhomework for CS231n 2017
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Episodic CuriosityTensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
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Nbviewernbconvert as a web service: Render Jupyter Notebooks as static web pages
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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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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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Rl Stock📈 如何用深度强化学习自动炒股
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Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
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Gpt2 Bert Reddit Bota bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models
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AsapASAP: Prioritizing Attention via Time Series Smoothing
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CopulasA library to model multivariate data using copulas.
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Pytorch tutorialA set of jupyter notebooks on pytorch functions with examples
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Diy AlexaCommand recognition research
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GpA tutorial about Gaussian process regression
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Fast Neural StylePytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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CartoonifyDeploy and scale serverless machine learning app - in 4 steps.
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LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
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ShainetSHAInet - a pure Crystal machine learning library
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PytorchmedicalaiThis is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.
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Dlfs codeCode for the book Deep Learning From Scratch, from O'Reilly September 2019
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Ml代码记录
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Faster Rcnn tensorflowThis is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.
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Eicu CodeCode and website related to the eICU Collaborative Research Database
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GatorConda environment and package management extension from within Jupyter
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Cnn QuantizationQuantization of Convolutional Neural networks.
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Your First Kaggle SubmissionHow to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
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Vmls CompanionsThese are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
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Ai MatrixTo make it easy to benchmark AI accelerators
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FastbookThe fastai book, published as Jupyter Notebooks
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StereoconvnetStereo convolutional neural network for depth map prediction from stereo images
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Ml Mooc NptelThis repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
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Learning by associationThis repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
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Machine Learning机器学习&深度学习资料笔记&基本算法实现&资源整理(ML / CV / NLP / DM...)
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Deeplearning keras2Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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