Alternatives and similar repositories for weakly_supervised_learning_code

Users that are interested in weakly_supervised_learning_code are comparing it to the libraries listed below

• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 5 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• e-commerce-search / bert2dnn
  Large Scale BERT Distillation
  ☆33Updated 2 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 6 years ago
• nplan-io / kdd2020-calibration
  How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
  ☆54Updated 5 years ago
• Ximilar-com / tf-metric-learning
  Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.
  ☆38Updated 3 years ago
• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆43Updated 5 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆47Updated 4 years ago
• balavenkatesh3322 / model_deployment
  A collection of model deployment library and technique.
  ☆72Updated 5 years ago
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 4 years ago
• sethjuarez / DeepLearningWithPyTorch
  ☆83Updated 4 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆65Updated last year
• Shujian2015 / graphnet_nlp_paper
  List of papers that applied graph network to NLP
  ☆13Updated 6 years ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 6 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 6 years ago
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 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 3 years ago
• robinniesert / kaggle-champs
  Code for the CHAMPS Predicting Molecular Properties Kaggle competition
  ☆52Updated 6 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• renato-umeton / automl-in-healthcare-review
  Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
  ☆41Updated 5 years ago
• M-68 / ActivationFunctions
  Implementing activation functions from scratch in Tensorflow.
  ☆36Updated 3 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 8 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 6 years ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆75Updated 4 years ago