Alternatives and similar repositories for nn_framework

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

• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• kaggler-tv / kaggler-tv-schedule
  Kaggler TV
  ☆54Updated 5 years ago
• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 7 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆24Updated 6 years ago
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆33Updated 6 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 5 years ago
• abhishekkrthakur / e01
  ☆38Updated 5 years ago
• dipanjanS / nlp_workshop_iisc19
  Hands-on examples showcasing popular NLP applications
  ☆19Updated 6 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• brainy749 / CreditRiskPaper
  Codes for replication and implementation of techniques in our credit risk article
  ☆34Updated 6 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆57Updated 7 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 6 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆65Updated 4 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 6 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• dimitreOliveira / bert-as-a-service_TFX
  End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
  ☆43Updated 2 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• dzlab / deepprojects
  A non-ending collection of jupyter notebooks
  ☆40Updated 3 years ago
• eugeneyan / awesome-mlops
  A curated list of references for MLOps
  ☆14Updated 5 years ago
• mxbi / mlnd-capstone
  ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration
  ☆12Updated 8 years ago
• ThomasRobertFr / ml-project-structure
  Basic structure for machine learning projects
  ☆54Updated 8 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆28Updated 7 years ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆62Updated 3 weeks ago
• dipanjanS / nlp_workshop_dhs18
  Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the pur…
  ☆66Updated 7 years ago
• binga / fastai_notes
  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)
  ☆36Updated 7 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago