MetrotwitterWhat Twitter reveals about the differences between cities and the monoculture of the Bay Area
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CoronamaskonMask On-Off control with computer vision
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Cs224n Gpu That TalksAttention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)
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BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
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Figure GenA Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.
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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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Pyspark Setup GuideA guide for setting up Spark + PySpark under Ubuntu linux
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Sklearn DeeprlDeep reinforcement learning. In scikit-learn. In less than 50 effective lines.
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Tianchi ship 2019天池智慧海洋 2019 https://tianchi.aliyun.com/competition/entrance/231768/introduction?spm=5176.12281949.1003.1.493e5cfde2Jbke
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25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
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Continuousparetomtl[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
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Tutoriais De AmAlgoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades
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Spark Mllib Scala PlayTwitter sentiment analysis based on Apache Spark, MLlib, Scala and Akka.
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Transformer TtsImplementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"
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Neural Process FamilyCode for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
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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.
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TensorflowTensorflow实战学习笔记、代码、机器学习进阶系列
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Average Word2vec🔤 Calculate average word embeddings (word2vec) from documents for transfer learning
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Style Transfer ColabGoogle Colab Notebook for Image and Video Style Transfer Using TensorFlow
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Bert Stack OverflowTrain a BERT model with TensorFlow 2.0 to automatically tag StackOverflow questions!
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Onnx tflite yolov3A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).
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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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Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
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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.
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Ppd599USC urban data science course series with Python and Jupyter
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DanetDeep Attractor Network (DANet) for single-channel speech separation
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TrdesigntrRosetta for protein design
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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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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
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