daddydrac / Deep-Learning-Ultra
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
☆82Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Deep-Learning-Ultra
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆122Updated 6 months ago
- End-to-End LLM Guide☆97Updated 4 months ago
- Test LLMs automatically with Giskard and CI/CD☆28Updated 3 months ago
- ☆41Updated last year
- ☆58Updated 8 months ago
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆137Updated last year
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated 11 months ago
- Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.☆9Updated last year
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆66Updated last week
- Everything you need to know about Transformers! 🤖☆127Updated last year
- ☆108Updated last year
- Mistral + Haystack: build RAG pipelines that rock 🤘☆100Updated 9 months ago
- Wave height prediction for the Huntington beach in California, USA.☆47Updated 10 months ago
- 💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML☆112Updated last month
- zero-to-lightning☆28Updated 6 months ago
- Table detection with Florence.☆13Updated 4 months ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- ☆23Updated 2 years ago
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆85Updated 2 months ago
- Large Language Model (LLM) Inference API and Chatbot☆122Updated 7 months ago
- Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…☆17Updated 8 months ago
- Learn how to create reliable ML systems by testing code, data and models.☆83Updated 2 years ago
- Demo for CI/CD in a machine learning project☆93Updated last year
- Machine Learning Engineering Camp 2022☆40Updated last year
- Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expect…☆36Updated 8 months ago
- Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning☆98Updated last year
- This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and…☆76Updated last month
- Some information for working with the Together inference API for Open Source AI models☆57Updated 10 months ago
- A collection of hand on notebook for LLMs practitioner☆38Updated 2 months ago
- Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…☆39Updated this week