Ds Python Data AnalysisData manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University
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MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (+1780.7%)
Covidnet CtCOVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
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Paraphrase GeneratorA paraphrase generator built using the T5 model which produces paraphrased English sentences.
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Style Transfer ColabGoogle Colab Notebook for Image and Video Style Transfer Using TensorFlow
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Bts PytorchPyTorch implementation of BTS Depth Estimator
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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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Facenet Face RecognitionThis is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
Stars: ✭ 54 (-5.26%)
Pc Optimization Hubcollection of various resources devoted to performance and input lag optimization
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Pyspark Setup GuideA guide for setting up Spark + PySpark under Ubuntu linux
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PyplotzA light weight wrapper for matplotlib users with Chinese characters supported
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Tutoriais De AmAlgoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades
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Codeforces ApiTools for estimating problem difficulty, predictors rating trajectories, and tracking individual learning progress in algorithms.
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Mypresentationsthis is my presentaion area .个人演讲稿展示区,主要展示一些平时的个人演讲稿或者心得之类的,
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Data MiningLecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
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Pybkb v2Python scripts that help me be a successfull meteorologist. (Python 2) For Python 3, use: https://github.com/blaylockbk/pyBKB_v3
Stars: ✭ 56 (-1.75%)
Stock Market Prediction Using Natural Language ProcessingWe used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.
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CommitgenCode and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"
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Handwritten Character RecognitionThis a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model
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NotesThe notes for Math, Machine Learning, Deep Learning and Research papers.
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Keras2kubernetesOpen source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
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Parametron.jlEfficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
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Baidu dogs百度西交第三届大数据比赛Baseline(全国第4名)
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25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
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Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
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Ctr model zoosome ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
Stars: ✭ 55 (-3.51%)
BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
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Ganpython notebooks accompanying the book Make Your Own GAN
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Deepfly3dMotion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.
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Transformer TtsImplementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"
Stars: ✭ 53 (-7.02%)
365datascience This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D
Stars: ✭ 53 (-7.02%)
Neural Process FamilyCode for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Stars: ✭ 53 (-7.02%)
Datacamp facebook live titanicDataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, data cleaning and machine leaning. Enjoy.
Stars: ✭ 57 (+0%)