mlelarge / dataflowr-slides

Related projects: ⓘ

• upwindflys / AutoNlp
  WAIC AutoNlp
  ☆10Updated 4 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 5 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆37Updated 3 years ago
• chiragjn / short-text-similarity
  Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475
  ☆16Updated 5 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 5 years ago
• roboticcam / publications
  A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…
  ☆24Updated 3 years ago
• paris-saclay-cds / data-science-workshop-2019
  ☆28Updated 4 years ago
• d2l-ai / d2l-book-colab
  Colab notebooks for d2l-book
  ☆11Updated 4 years ago
• zygmuntz / kaggle-merck
  Merck challenge at Kaggle
  ☆10Updated 10 years ago
• jmoy / repec-lda
  Classifying economics articles using Latent Dirichlet Allocation
  ☆8Updated 8 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆33Updated 7 years ago
• ekochmar / cl-datasci-pnp
  Data Science: Principles and Practice, 2019-20
  ☆11Updated 4 years ago
• brightmart / ai_law_judger
  ☆53Updated this week
• wut0n9 / cnn_chinese_text_classification
  运用cnn + highway network网络结构中文文本分类
  ☆13Updated 6 years ago
• deeppavlov / NLPCourseBot
  Telegram-bot for NLP/RL courses
  ☆12Updated 2 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 6 years ago
• Shujian2015 / graphnet_nlp_paper
  List of papers that applied graph network to NLP
  ☆13Updated 5 years ago
• guidao20 / BP_Numpy
  ☆10Updated 3 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 3 years ago
• davidwarne / Bayesian_SIMD_examples
  Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…
  ☆13Updated 3 years ago
• nndl / materials-for-deep-learning
  ☆31Updated this week
• yzhao062 / mmad
  multimodal anomaly detection
  ☆13Updated 3 years ago
• hurshprasad / active-learning-elo-letor
  Active Learning for Learning to Rank (LETOR)
  ☆8Updated 8 years ago
• ddbourgin / em
  Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial
  ☆35Updated 5 years ago
• bourneli / data-mining-papers
  ☆17Updated this week
• wslc1314 / TextSentimentClassification
  TextSentimentClassification, using tensorflow.
  ☆15Updated 6 years ago
• e-commerce-search / bert2dnn
  Large Scale BERT Distillation
  ☆32Updated last year
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆23Updated 6 years ago
• d2l-ai / notebooks
  ☆68Updated 5 years ago