Deep-Learning-in-Production
by ahkarami
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
AI summary
Model deployment notes
A collection of notes and references on deploying deep learning models in production environments
- stars
- 4.3K
- forks
- 688
- watching
- 148
- awesome lists
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Production system design
A guide to building production-ready deep learning systems for real-world applications
Deep Learning Tutorials
A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage.
DL framework
A PyTorch framework for accelerating deep learning research and development by focusing on reproducibility, rapid experimentation, and codebase reuse.
RL frameworks
PyTorch implementations of popular deep reinforcement learning algorithms and environments.
DeepNLP models
Pytorch implementations of various Deep NLP models from Stanford's cs-224n course
Deep Learning Template
An open-source PyTorch deep learning project template providing a structured environment for building and training various models.
DeepLab Plus Model
A PyTorch implementation of the DeepLab-V3-Plus model with support for multiple backbones and datasets
Segmentation Model Library
A comprehensive library for training and applying deep learning models for image segmentation
CTR models
A PyTorch-based package for building and training click-through rate models using various deep learning architectures.
pytorch/examples22.5K
PyTorch examples
A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning.
Deep learning book adaptation
An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch
donnyyou/torchcv2.2K
CV framework
A comprehensive PyTorch-based framework for computer vision tasks
Neural network trainer
A high-level library to help with training and evaluating neural networks in PyTorch
GPU tensor library
A Python library providing tensors and dynamic neural networks with strong GPU acceleration
Deep learning implementations
Implementations of various deep learning algorithms and techniques with accompanying documentation
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions Deep-Learning-in-Production.
