Alternatives and similar repositories for Neural-Networks:

Users that are interested in Neural-Networks are comparing it to the libraries listed below

• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 4 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆135Updated 5 years ago
• dipanjanS / transformers_nlp_essentials
  Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…
  ☆27Updated 4 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 3 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆64Updated 7 months ago
• rasbt / model-eval-article-supplementary
  Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
  ☆67Updated 2 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆27Updated 6 years ago
• WillKoehrsen / pytorch_challenge
  ☆111Updated 3 years ago
• dipanjanS / nlp_crash_course_plugin20
  Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Edition
  ☆71Updated 4 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆158Updated 4 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆52Updated 4 years ago
• pierpaolo28 / Companies-Data-Science-Challenges
  Collection of Data Science Challenges designed by different companies during Hackatons, Events, etc...
  ☆28Updated 4 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆54Updated 5 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆63Updated 3 years ago
• G-Hung / model-productization_article
  This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices
  ☆84Updated last year
• bhattbhavesh91 / imbalance_class_sklearn
  Address imbalance classes in machine learning projects.
  ☆35Updated 3 years ago
• ivan-vasilev / Python-Deep-Learning-SE
  Code repository for Python Deep Learning Second Edition, published by Packt
  ☆38Updated 6 years ago
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆32Updated 5 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆208Updated 5 years ago
• bespoke-inc / bespoke-public-talks
  Code samples and other materials for presentations by Bespoke tech team members
  ☆82Updated 2 years ago
• piyushpathak03 / Automated-Machine-Learning
  All AutoML Libraries
  ☆105Updated 3 years ago
• javaidnabi31 / Multi-class-with-imbalanced-dataset-classification
  Multi-class with imbalanced dataset classification
  ☆84Updated 5 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 3 years ago
• priyadarshi0007 / TimeSeries-AIEngineering
  This is a repo for all the time series related notebook for AIENgineering
  ☆2Updated 4 years ago
• PacktPublishing / Ensemble-Machine-Learning-Cookbook
  Ensemble Machine Learning Cookbook, published by Packt
  ☆58Updated 2 years ago
• crackingthemachinelearninginterview / Cracking-The-Machine-Learning-Interview
  Code snippets for our Book solutions
  ☆43Updated 5 years ago
• dipanjanS / tensorflow2-crash-course
  A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
  ☆227Updated 4 years ago
• dipanjanS / low_code_machine_learning_pycaret_workshop_2022
  This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…
  ☆21Updated 2 years ago