Gp4aCode for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
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Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
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Hacktoberfest2020 ContributionsA beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨
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Hindi2vecState-of-the-Art Language Modeling and Text Classification in Hindi Language
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Yolo Digit DetectorImplemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
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Score sdeOfficial code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
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ArcticHigh performance datastore for time series and tick data
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Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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TrixiManage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
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Spacy RuRussian language models for spaCy
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Cvx short courseMaterials for a short course on convex optimization.
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LargitdataLargitData Course Material
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Pytorch Vq VaePyTorch implementation of VQ-VAE by Aäron van den Oord et al.
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Javascript Todo List Tutorial✅ A step-by-step complete beginner example/tutorial for building a Todo List App (TodoMVC) from scratch in JavaScript following Test Driven Development (TDD) best practice. 🌱
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MultihopkgMulti-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
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Book文言陰符 An Introduction to Programming in Wenyan Language
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Character Based CnnImplementation of character based convolutional neural network
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M5 MethodsData, Benchmarks, and methods submitted to the M5 forecasting competition
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FinanceHere you can find all the quantitative finance algorithms that I've worked on and refined over the past year!
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PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Algforopt NotebooksJupyter notebooks associated with the Algorithms for Optimization textbook
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NbqaRun any standard Python code quality tool on a Jupyter Notebook
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CompstatsCode for a workshop on statistical interference using computational methods in Python.
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Python For Data ScienceA collection of Jupyter Notebooks for learning Python for Data Science.
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Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
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Noise2selfA framework for blind denoising with self-supervision.
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TfmesosTensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
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Snippetjust some code snippet
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Probmods2probmods 2: electric boogaloo
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Ctr nn基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)
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Vulkan Tutorial RustFollowing the vulkan tutorial(https://vulkan-tutorial.com/) using the Rust programming language.
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Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
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AcademyRay tutorials from Anyscale
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Emoji2vecemoji2vec: Learning Emoji Representations from their Description
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Godot Kickstarter 2019Create your Own Games with Godot, the Free Game Engine: sources from the January Kickstarter project from GDQuest
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Sttn[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
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MosquitoTrading Bot with focus on Evolutionary Algorithms and Machine Learning
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Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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