PacktPublishing / Distributed-Machine-Learning-with-Python
Distributed Machine Learning with Python, published by Packt
☆38Updated last year
Related projects: ⓘ
- Hands-On Natural Language Processing with PyTorch 1.x, published by Packt☆48Updated 2 years ago
- Source Code for 'Deep Reinforcement Learning with Python' by Nimish Sanghi☆45Updated 2 years ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆38Updated 2 years ago
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆16Updated last year
- Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"☆88Updated last year
- Artificial Intelligence with Python Cookbook, published by Packt☆69Updated last year
- Source Code for 'Deploy Machine Learning Models to Production' by Pramod Singh☆21Updated 3 years ago
- Code repository for the book Feature engineering with Feature-engine☆12Updated 4 months ago
- implementing various transformer models for various tasks☆61Updated 2 years ago
- Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham☆40Updated 2 years ago
- ☆68Updated last year
- Predict customer churn with text and interpretability.☆10Updated 3 years ago
- Dockerized Jupyter notebook to run commands from the ML Python Cookbook☆29Updated last year
- Tutorial on time-series forcasting with scikit-learn☆35Updated last year
- Mastering Reinforcement Learning with Python, published by Packt☆140Updated last year
- ☆27Updated last year
- Pretrain Vision and Large Language Models in Python, Published by Packt☆82Updated 8 months ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆46Updated 3 years ago
- My Solution to Assignments of CS234(Stanford / Fall 2019)☆14Updated 4 years ago
- A complete end-to-end machine learning portal that covers processes starting from model training to the model predicting results using Fa…☆43Updated 2 years ago
- Collection of all of my notes on machine learning, topics span visual recognition, clustering, natural language processing and more.☆50Updated last year
- ☆9Updated 3 years ago
- Production-Ready Applied Deep Learning☆85Updated last year
- Code and Content for Manning Publication on Graph Neural Networks☆51Updated 2 weeks ago
- Time Series Forecasting for the M5 Competition☆40Updated 2 years ago
- Machine Learning Using TensorFlow Cookbook, published by Packt☆67Updated last year
- Examples of using Evidently to evaluate, test and monitor ML models.☆18Updated 2 weeks ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆94Updated last year
- Notes of Reinforcement Learning MOOC by University of Alberta☆17Updated 4 years ago
- Time series analysis on AWS, published by Packt☆15Updated last year