Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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VectorhubVector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
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Tensor SensorThe goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.
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VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
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DutchembeddingsRepository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.
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Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
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DecagonGraph convolutional neural network for multirelational link prediction
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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Deep Learning NotesMy personal notes, presentations, and notebooks on everything Deep Learning.
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NbinteractCreate interactive webpages from Jupyter Notebooks
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Whotracks.meData from the largest and longest measurement of online tracking.
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Python GeospatialA collection of Python packages for geospatial analysis with binder-ready notebook examples
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Activitynet 2016 CvprwTools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)
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Cnn Re TfConvolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
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Tensorflow2.0 NotesTensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战,目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门,其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue,笔记网站正在建设中)。
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ClustergrammerAn interactive heatmap visualization built using D3.js
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Bet On SibylMachine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
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Vec4irWord Embeddings for Information Retrieval
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DraganA stable algorithm for GAN training
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SimpleselfattentionA simpler version of the self-attention layer from SAGAN, and some image classification results.
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Dl4mirDeep learning for MIR
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IpypublishA workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!
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GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
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Cl JupyterAn enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
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Juniper🍇 Edit and execute code snippets in the browser using Jupyter kernels
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FaceshifterTry to reproduce FaceShifter
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Ml TutorialIntroduction to ML packages for the 6.86x course
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PersonalContains Jupyter Notebooks of stuff I am working on.
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CarputerToy car that drives itself using neural networks
Stars: ✭ 188 (-2.08%)
VanillacnnImplementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l
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Awesome JupyterA curated list of awesome Jupyter projects, libraries and resources
Stars: ✭ 2,523 (+1214.06%)
AdversarialvariationalbayesThis repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
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NotebooksJupyter Notebooks with Deep Learning Tutorials
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Kapsamli derin ogrenme rehberiBu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽
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IridescentSolid data structure and algorithms
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MagicMAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
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PqkmeansFast and memory-efficient clustering
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WorldmodelsWorld Models with TensorFlow 2
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GhapiA delightful and complete interface to GitHub's amazing API
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Catalogos Dados BrasilMapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.
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Kaggle PlaygroundJupyter notebooks and code examples for my Kaggle Beginners' Guide.
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Trajectron Plus PlusCode accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
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TeachopencaddTeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
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ThinkdspThink DSP: Digital Signal Processing in Python, by Allen B. Downey.
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JuliacoursenotebooksJupyter notebooks for the Julia Scientific Programming course on Coursera
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Richpath💪 Rich Android Path. 🤡 Draw as you want. 🎉 Animate much as you can.
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StylenetA cute multi-layer LSTM that can perform like a human 🎶
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