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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Aotodata朱小五写文章涉及到的数据分析,爬虫,源数据
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18s09618.S096 three-week course at MIT
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Halo💫 Beautiful spinners for terminal, IPython and Jupyter
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50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
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Example ScriptsExample Machine Learning Scripts for Numerai's Tournament
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DashAnalytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
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Mlapp cn code《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。
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Interpret TextA library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
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ExamplesHome for Elasticsearch examples available to everyone. It's a great way to get started.
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Handson Ml2A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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PyscriptPyscript adds rich Python scripting to HASS
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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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Statannotadd statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
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Pytorch Vq VaePyTorch implementation of VQ-VAE by Aäron van den Oord et al.
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FauxtographTools for using a variational auto-encoder for latent image encoding and generation.
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NemoNeMo: a toolkit for conversational AI
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Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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Spark Fm ParallelsgdImplementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
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Quantiacs PythonPython version of Quantiacs toolbox and sample trading strategies
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Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
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Vae ClusteringUnsupervised clustering with (Gaussian mixture) VAEs
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Dat7General Assembly's Data Science course in Washington, DC
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Stock PredictionStock price prediction with recurrent neural network. The data is from the Chinese stock.
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Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
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DdadDense Depth for Autonomous Driving (DDAD) dataset.
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MirrorVisualisation tool for CNNs in pytorch
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CourseraThese are my learning exercices from Coursera
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Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
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SwapnetVirtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
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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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Introduction To PythonPython is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)
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Set transformerPytorch implementation of set transformer
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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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Source separationDeep learning based speech source separation using Pytorch
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