Imperial-College-Data-Science-Society / Neural-Networks

Related projects ⓘ

Alternatives and complementary repositories for Neural-Networks

• Imperial-College-Data-Science-Society / Lecture-3-Linear-Models
  ICDSS Machine Learning Workshop Series: Linear Models
  ☆19Updated 5 years ago
• Imperial-College-Data-Science-Society / Machine-Learning-API
  ICDSS Machine Learning Workshop Series: Machine Learning APIs
  ☆10Updated 6 years ago
• Imperial-College-Data-Science-Society / Challenges
  ICDSS Advanced Data Science Team Challenges 2020-2021
  ☆16Updated 2 years ago
• eliavw / mercs
  Multi-directional Ensembles of Regression and Classification treeS.
  ☆13Updated 2 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• deepcharles / tutorials-mva-2022
  Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
  ☆10Updated 2 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 3 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated last year
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 3 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 7 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• AI-ON / deep-embedding
  Discovering deep embedding spaces for Psychiatric imaging
  ☆16Updated 6 years ago
• KevinFasusi / supplychainpy_notebooks
  Jupyter Notebooks for supplychainpy
  ☆22Updated 7 years ago
• uvadlc / uvadlc_practicals_2018
  Lab assignments for the Deep Learning course at the University of Amsterdam
  ☆20Updated 6 years ago
• dmurfet / 2simplicialtransformer
  Code for the 2-simplicial Transformer paper
  ☆18Updated 4 years ago
• grananqvist / NALU-tf
  Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.
  ☆29Updated 6 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆9Updated 2 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• drivendata / boxplots-for-education-1st-place
  ☆14Updated 9 years ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 5 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 3 months ago
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 7 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago