Alternatives and similar repositories for KDD20-tutorial

Users that are interested in KDD20-tutorial are comparing it to the libraries listed below

• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• e-commerce-search / bert2dnn
  Large Scale BERT Distillation
  ☆33Updated 2 years ago
• nplan-io / kdd2020-calibration
  How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
  ☆53Updated 4 years ago
• senwu / emmental
  A deep learning framework for building multimodal multi-task learning systems.
  ☆111Updated 2 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 4 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• Shujian2015 / graphnet_nlp_paper
  List of papers that applied graph network to NLP
  ☆13Updated 6 years ago
• renato-umeton / automl-in-healthcare-review
  Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
  ☆41Updated 4 years ago
• dlg4nlp / dlg4nlp.github.io
  This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.
  ☆13Updated 2 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• PanpanZheng / SAFE
  ☆34Updated 5 years ago
• sxjscience / automl_multimodal_benchmark
  Repository for Multimodal AutoML Benchmark
  ☆66Updated 3 years ago
• omarsar / emotion_analysis_elastic_pytorch
  Deep Emotion Analysis with Elastic and PyTorch
  ☆16Updated 6 years ago
• flaviovdf / label-shift
  ☆31Updated 4 years ago
• NLPatVCU / multitasking_transformers
  Multitask Learning with Pretrained Transformers
  ☆40Updated 4 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 4 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 5 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• Ximilar-com / tf-metric-learning
  Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.
  ☆38Updated 2 years ago
• astonzhang / KDD19-tutorial
  KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
  ☆62Updated 2 years ago
• cgraywang / transformer-on-diet
  Code repo for "Transformer on a Diet" paper
  ☆31Updated 5 years ago
• chaitjo / gated-graph-transformers
  Transformers are Graph Neural Networks!
  ☆54Updated 4 years ago