brohrer / how_modeling_works

Related projects: ⓘ

• brohrer / nn_framework
  A simple neural network framework
  ☆22Updated last year
• brohrer / what_nns_learn
  Simulations to illustrate what neural networks learn.
  ☆14Updated 4 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 6 years ago
• decentdilettante / XAI
  Explainable AI Repository
  ☆15Updated last year
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆58Updated 6 years ago
• SudalaiRajkumar / tf-stanford-tutorials
  This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
  ☆12Updated 7 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆79Updated 4 years ago
• parulnith / Explainable-AI-Workshop
  ☆17Updated last year
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆29Updated 3 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 5 years ago
• xxsacxx / ML_algos
  Repo will try to cover all the most frequently used ML algos with proper explanation and examples
  ☆10Updated 5 years ago
• tirthajyoti / TensorFlow_Basics
  Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …
  ☆36Updated 5 years ago
• ankit-rathi / Data-Science-with-Python
  ☆32Updated 6 months ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 5 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆97Updated last year
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆87Updated 6 years ago
• brohrer / how_optimization_works
  ☆18Updated 4 years ago
• lavanyashukla / neural_networks
  ☆49Updated 3 years ago
• kaggler-tv / kaggler-tv-schedule
  Kaggler TV
  ☆54Updated 4 years ago
• udacity / PyTorchCrashCourse
  A few notebooks on deep learning with PyTorch
  ☆46Updated 2 years ago
• yuxiangdai / machine-learning-templates
  Template codes and examples for Python machine learning concepts
  ☆39Updated 7 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆148Updated 6 years ago
• aswalin / Outlier-Impact-Treatment
  The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models
  ☆23Updated 6 years ago
• eugeneyan / awesome-mlops
  A curated list of references for MLOps
  ☆13Updated 4 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 7 years ago
• Apress / building-ml-and-dl-models-on-gcp
  Source code for 'Building Machine Learning and Deep Learning Models on Google Cloud Platform'
  ☆37Updated 4 years ago
• Msanjayds / DeepLearning
  ☆17Updated this week
• harshitahluwalia7895 / Free-Courses-on-Data-Science
  ☆24Updated 5 years ago
• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 6 years ago
• PipelineAI / notebooks
  Sample Notebooks for PipelineAI
  ☆44Updated last year