Alternatives and similar repositories for hiring-model:

Users that are interested in hiring-model are comparing it to the libraries listed below

• erikbern / options
  Price options by fitting a Lévy distribution
  ☆9Updated 4 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• erikbern / predictit
  ☆10Updated 4 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 4 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 4 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• lateral / hyperplane-hasher
  Implementation of an algorithm computing the nearest "N" neighbours to a vector, using a collection of hyperplane hashers.
  ☆30Updated 9 years ago
• gradientzoo / python-gradientzoo
  Python integration for Gradientzoo - version and share your trained neural network model weights
  ☆12Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• nelson-liu / pytorch-paper-classifier
  A simple model for classifying papers by academic venue (AI/ML/ACL), given a title and abstract. Bare-metal PyTorch port of https://gith…
  ☆12Updated 6 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 2 years ago
• snorkel-team / snorkel-zoo
  A collection of utilities for writing labeling functions, transformation functions, and slicing functions.
  ☆20Updated 4 years ago
• cardwizard / QuickUI
  Quickly create a UI for any python file with a CLI
  ☆17Updated 3 weeks ago
• floringogianu / paper-notebooks
  A collection of notebooks aiding the understanding of machine-learning papers.
  ☆10Updated 3 years ago
• arogozhnikov / readable_capsnet
  Blazingly fast capsule networks in 75 lines of pytorch+einops
  ☆26Updated 3 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 7 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• yoonkim / kdd_2014
  Code for KDD 2014
  ☆16Updated 9 years ago
• titu1994 / keras-padam
  Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"
  ☆17Updated 6 years ago
• jfpuget / Kaggle_TrackML
  Code for the TrackML competition on Kaggle
  ☆15Updated 4 years ago
• borjaayerdi / AdaHERF
  Adaptative Hybrid Extreme Rotation Forest (AdaHERF)
  ☆34Updated 8 years ago
• giannisdaras / thinc
  🔮 spaCy's Machine Learning library for NLP in Python
  ☆8Updated 5 years ago
• ceshine / Dockerfiles
  ☆13Updated last year
• koursaros-ai / microservices
  Neural Elastic Inference and Search
  ☆19Updated 5 years ago
• titu1994 / keras-SparseNet
  Keras Implementation of SparseNets
  ☆23Updated 6 years ago
• fujimotos / mbleven
  An efficient algorithm for k-bounded (Damerau-)Levenshtein distance
  ☆16Updated 6 years ago
• arrufat / dlib-pytorch-benchmark
  A very naive and simple benchmark between dlib and pytorch in terms of space and time
  ☆19Updated 4 years ago