18s09618.S096 three-week course at MIT
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MaterialsBonus materials, exercises, and example projects for our Python tutorials
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Vae ClusteringUnsupervised clustering with (Gaussian mixture) VAEs
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Gspread PandasA package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.
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Stock PredictionStock price prediction with recurrent neural network. The data is from the Chinese stock.
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MirrorVisualisation tool for CNNs in pytorch
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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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Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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DragonnA toolkit to learn how to model and interpret regulatory sequence data using deep learning.
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NemoNeMo: a toolkit for conversational AI
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WeightwatcherThe WeightWatcher tool for predicting the accuracy of Deep Neural Networks
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Minecraft DataLanguage independent module providing minecraft data for minecraft clients, servers and libraries.
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Set transformerPytorch implementation of set transformer
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Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
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LfortranOfficial mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.
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Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
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Image classification with 5 methodsCompared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
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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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Covid 19Ciência de Dados aplicada à pandemia do novo coronavírus.
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Poretoolsa toolkit for working with Oxford nanopore data
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NaviganNavigating the GAN Parameter Space for Semantic Image Editing
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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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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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Ipython NotebooksA collection of IPython notebooks covering various topics.
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Malware DetectionMalware Detection and Classification Using Machine Learning
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TensorflowDeep Learning Zero to All - Tensorflow
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Vqa demoVisual Question Answering Demo on pretrained model
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
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Rl Adventure 2PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
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TensorfaceThis repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
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MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
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HyperspectralDeep Learning for Land-cover Classification in Hyperspectral Images.
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Python lectures파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.
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Dat7General Assembly's Data Science course in Washington, DC
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Sklearn pycon2014Repository containing files for my PyCon 2014 scikit-learn tutorial.
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Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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Zoom Learn Zoomcomputational zoom from raw sensor data
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HtmresearchExperimental algorithms. Unsupported.
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Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
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Stereo TransformerOfficial Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
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Scikit GeometryScientific Python Geometric Algorithms Library
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