The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨

Data validation using Python type hints

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Recipes to scale inference-time compute of open models

Code examples and resources for DBRX, a large language model developed by Databricks

Supercharge Your Model Training

LLM training code for Databricks foundation models

RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

Fast and flexible reference benchmarks

A Data Streaming Library for Efficient Neural Network Training

Introduction to deep learning with Apache MXNet GLUON. MLP, CNN, RNN and Model Server

Modular Probabilistic Programming on MXNet

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically upd…

Multi Model Server is a tool for serving neural net models for inference

Support material for MLSS 2018 - Buenos Aires

Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041

A collection of pre-trained, state-of-the-art models in the ONNX format

Sentiment analysis with SageMaker and MXNet

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

A library for training and deploying machine learning models on Amazon SageMaker

[DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support

Deep learning examples using Gluon API.

ONNX model format support for Apache MXNet

Scripts and instructions to facilitate running Deep Learning Tasks on Amazon EMR

Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it f…

A clear, concise, simple yet powerful and efficient API for deep learning.

Deep Learning Pipelines for Apache Spark

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.