Alternatives and similar repositories for cl-datasci-pnp

Users that are interested in cl-datasci-pnp are comparing it to the libraries listed below

• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• DRAGNLabs / towards-neural-programming-interfaces
  The code repository associated with the NeurIPS 2020 paper: "Towards Neural Programming Interfaces"
  ☆13Updated 2 years ago
• chiragjn / short-text-similarity
  Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475
  ☆16Updated 6 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 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
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• osirrc / osirrc2019-library
  Official library of images for the SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019)
  ☆13Updated 5 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆18Updated 6 years ago
• belizgunel / hyperE
  ☆32Updated 6 years ago
• tathey1 / graspy
  Python package for graph statistics
  ☆9Updated 4 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆59Updated 5 years ago
• ielab / health-search-tutorial
  ☆19Updated 6 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• yuqirose / TensorRNN
  Source repo for tensor-train recurrent neural network for long-term forecasting
  ☆8Updated 7 years ago
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 3 years ago
• arbenson / cflp
  Code for core-fringe link prediction
  ☆11Updated 6 years ago
• nlitutorial / nlitutorial.github.io
  2019 NAACL NLI with Deep Learning tutorial site.
  ☆31Updated 5 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
• tony-hong / event-embedding-multitask
  *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
  ☆21Updated 6 years ago
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• predict-idlab / INK
  Instance Neighbouring by using Knowledge
  ☆16Updated 8 months ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 2 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• shagunsodhani / torch-template
  Boiler plate code for Torch based ML projects
  ☆10Updated 3 years ago
• TheMTank / ai-distillery
  Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.
  ☆23Updated 6 years ago