jefkine / zeta-learnLinks
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
☆40Updated 5 years ago
Alternatives and similar repositories for zeta-learn
Users that are interested in zeta-learn are comparing it to the libraries listed below
Sorting:
- Stats 479 Project☆22Updated 6 years ago
- Implementation of SOM and GSOM☆73Updated 7 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- Deep learning library in python from scratch☆45Updated 3 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- Machine learning algorithms☆113Updated 6 years ago
- Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.☆39Updated 7 years ago
- A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.☆198Updated 6 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆137Updated 5 years ago
- Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate …☆23Updated 7 years ago
- This is the notebook associated with the blog post:☆92Updated 5 years ago
- Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera☆136Updated 7 years ago
- A simple neural network framework☆22Updated 3 years ago
- This repo is part of a series of blog post titled "Nothing but NumPy"☆49Updated 5 years ago
- David Mackay's book review and problem solvings and own python codes, mathematica files☆58Updated 8 years ago
- Statistics and Machine Learning in Python☆71Updated 5 years ago
- Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageM…☆173Updated 4 years ago
- A PyTorch ensemble neural network model used for time series analysis.☆60Updated 6 years ago
- This is a very in depth explination of naive bayes w.r.t implementation in python which can be used in Machine Learning applications.☆28Updated 4 years ago
- ☆40Updated 8 years ago
- Codes for replication and implementation of techniques in our credit risk article☆34Updated 6 years ago
- Anomaly detection algorithm implementation in Python☆129Updated 5 years ago
- Contains useful deep learning notations for writing blogs, presentations, and papers.☆47Updated 5 years ago
- Repo for all files related to my Medium Posts☆90Updated last week
- Implementations of computer vision concepts.☆51Updated 7 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- Articles on machine learning☆65Updated 3 years ago
- A numpy-only implementation of a Convolutional Neural Network, from the ground up.☆229Updated 7 years ago
- HMM Tutorial☆12Updated 7 years ago
- tutorials that may or may not turn into a book☆50Updated 5 years ago