TannerGilbert / Machine-Learning-Explained
Learn the theory, math and code behind different machine learning algorithms and techniques.
☆72Updated 2 years ago
Alternatives and similar repositories for Machine-Learning-Explained:
Users that are interested in Machine-Learning-Explained are comparing it to the libraries listed below
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆78Updated 2 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆53Updated 2 years ago
- The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…☆71Updated last year
- Computer Vision Papers of the week☆17Updated 2 years ago
- Machine Learning Engineering Camp 2022☆40Updated 2 years ago
- AI Summer's complete catalog of articles☆108Updated 3 years ago
- Computer Vision is one of the hottest topics in artificial intelligence. It is making tremendous advances in self-driving cars, robotics …☆38Updated 10 months ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆168Updated 3 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆172Updated 2 years ago
- ☆22Updated last year
- A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.☆37Updated last year
- I will implement Fastai in each projects present in this repository.☆63Updated last year
- ML Research paper summaries, annotated papers and implementation walkthroughs☆114Updated 3 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated last year
- A series of notebooks demonstrating how to build simple NLP web apps with Gradio and Hugging Face transformers☆45Updated 3 years ago
- zero-to-lightning☆29Updated 10 months ago
- The repository is dedicated towards the implementation of Computer Vision.☆25Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆82Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- A collection of awesome machine learning repositories☆28Updated 3 years ago
- 🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDF…☆105Updated 2 years ago
- ☆43Updated last year
- Lightning Bits: Engineering for Researchers repo☆132Updated 2 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated 10 months ago
- Interview Questions and Answers for Machine Learning Engineer role☆118Updated 2 years ago
- Serving TensorFlow models with TensorFlow Serving☆44Updated 3 years ago
- Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using…☆48Updated 3 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Updated 3 years ago