daddydrac / Deep-Learning-UltraLinks
Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for GPU), TensorFlow 2 for GPU, PyG and NVIDIA RAPIDS
☆84Updated last year
Alternatives and similar repositories for Deep-Learning-Ultra
Users that are interested in Deep-Learning-Ultra are comparing it to the libraries listed below
Sorting:
- ☆23Updated 2 years ago
- zero-to-lightning☆29Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago
- Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…☆49Updated 4 months ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- How to serve ML predictions 100x faster☆55Updated 10 months ago
- Test LLMs automatically with Giskard and CI/CD☆30Updated 10 months ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- ☆40Updated last year
- ☆18Updated 6 months ago
- Demo for CI/CD in a machine learning project☆106Updated last year
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Fine-tune an LLM to perform batch inference and online serving.☆112Updated 3 weeks ago
- Very little code to make PyTorch Lightning models☆16Updated last year
- Demo Computer Vision Project☆63Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆30Updated last week
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆142Updated last year
- Large Language Model (LLM) Inference API and Chatbot☆126Updated last year
- A collection of hand on notebook for LLMs practitioner☆49Updated 5 months ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- ☆65Updated last month
- A collection of examples demonstrating how to use dstack☆26Updated last year
- List of resources, libraries and more for developers who would like to build with open-source machine learning off-the-shelf☆199Updated last year
- Exploring machine learning engineering and operations. ❚☆39Updated last month
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆87Updated 2 years ago
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 2 years ago
- ☆58Updated last year
- MLOps maturity assessment☆60Updated 2 years ago