ComettsComet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons
Stars: ✭ 54 (-3.57%)
TrdesigntrRosetta for protein design
Stars: ✭ 54 (-3.57%)
Deep3dAutomatic 2D-to-3D Video Conversion with CNNs
Stars: ✭ 1,075 (+1819.64%)
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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Deepfly3dMotion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.
Stars: ✭ 55 (-1.79%)
DanetDeep Attractor Network (DANet) for single-channel speech separation
Stars: ✭ 54 (-3.57%)
Reinforcement LearningImplementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
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TelepythTelegram notification with IPython magics.
Stars: ✭ 54 (-3.57%)
Handwritten Character RecognitionThis a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model
Stars: ✭ 53 (-5.36%)
Darknetpydarknetpy is a simple binding for darknet's yolo detector
Stars: ✭ 55 (-1.79%)
Da detectionProgressive Domain Adaptation for Object Detection
Stars: ✭ 55 (-1.79%)
Tianchi ship 2019天池智慧海洋 2019 https://tianchi.aliyun.com/competition/entrance/231768/introduction?spm=5176.12281949.1003.1.493e5cfde2Jbke
Stars: ✭ 54 (-3.57%)
Paraphrase GeneratorA paraphrase generator built using the T5 model which produces paraphrased English sentences.
Stars: ✭ 55 (-1.79%)
Pyspark Setup GuideA guide for setting up Spark + PySpark under Ubuntu linux
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WhitehatInformation about my experiences on ethical hacking 💀
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Tutoriais De AmAlgoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades
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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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ModernaiMaterials for Modern AI Course / Cloud Day 2.0
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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 (+1814.29%)
Ctr model zoosome ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
Stars: ✭ 55 (-1.79%)
Style Transfer ColabGoogle Colab Notebook for Image and Video Style Transfer Using TensorFlow
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PyplotzA light weight wrapper for matplotlib users with Chinese characters supported
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Bts PytorchPyTorch implementation of BTS Depth Estimator
Stars: ✭ 54 (-3.57%)
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 (-3.57%)
Ipython NotebooksSome iPython Notebooks I have created for personal learning
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Text nnText classification models. Used a submodule for other projects.
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Info490 Fa16INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois
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Github PaperPlos in Computational Biology paper related with github for researchers, code, source and document
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Info490 Sp17Advanced Data Science, University of Illinois Spring 2017
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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (+0%)
BlogRead and Write
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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.
Stars: ✭ 53 (-5.36%)
AutoaugmentUnofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Stars: ✭ 1,084 (+1835.71%)