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%)
TrdesigntrRosetta for protein design
Stars: ✭ 54 (-5.26%)
Baidu dogs百度西交第三届大数据比赛Baseline(全国第4名)
Stars: ✭ 56 (-1.75%)
Pyspark Setup GuideA guide for setting up Spark + PySpark under Ubuntu linux
Stars: ✭ 53 (-7.02%)
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%)
Info490 Fa16INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois
Stars: ✭ 53 (-7.02%)
Tutoriais De AmAlgoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades
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Info490 Sp17Advanced Data Science, University of Illinois Spring 2017
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Deepfly3dMotion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.
Stars: ✭ 55 (-3.51%)
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,
Stars: ✭ 53 (-7.02%)
Clr Stars: ✭ 1,087 (+1807.02%)
CommitgenCode and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"
Stars: ✭ 53 (-7.02%)
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 (-7.02%)
HerosaverAn educational tool for exporting stl from THREE.js
Stars: ✭ 55 (-3.51%)
Handwritten Character RecognitionThis a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model
Stars: ✭ 53 (-7.02%)
CoarijCorpus of Annual Reports in Japan
Stars: ✭ 55 (-3.51%)
Da detectionProgressive Domain Adaptation for Object Detection
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Keras2kubernetesOpen source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
Stars: ✭ 53 (-7.02%)
Paraphrase GeneratorA paraphrase generator built using the T5 model which produces paraphrased English sentences.
Stars: ✭ 55 (-3.51%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-7.02%)
Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Stars: ✭ 54 (-5.26%)
BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Stars: ✭ 53 (-7.02%)
Ganpython notebooks accompanying the book Make Your Own GAN
Stars: ✭ 50 (-12.28%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-1.75%)
Knyfeknyfe is a python utility for rapid exploration of datasets.
Stars: ✭ 54 (-5.26%)
Transformer TtsImplementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"
Stars: ✭ 53 (-7.02%)
Ipython NotebooksSome iPython Notebooks I have created for personal learning
Stars: ✭ 54 (-5.26%)
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%)
Codeforces ApiTools for estimating problem difficulty, predictors rating trajectories, and tracking individual learning progress in algorithms.
Stars: ✭ 56 (-1.75%)
AutoaugmentUnofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Stars: ✭ 1,084 (+1801.75%)
WhitehatInformation about my experiences on ethical hacking 💀
Stars: ✭ 54 (-5.26%)
Figure GenA Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.
Stars: ✭ 53 (-7.02%)
Github PaperPlos in Computational Biology paper related with github for researchers, code, source and document
Stars: ✭ 54 (-5.26%)