Stars
A playbook for systematically maximizing the performance of deep learning models.
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our v…
Next-generation Punkt sentence boundary detection with zero dependencies
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Mitigating biases in language models by removing biased data and recasting data from other NLP tasks.
Github action to evaluate GenAI applications using model as the judge, content safety and mathematical metrics.
Bringing BERT into modernity via both architecture changes and scaling
An open science effort to benchmark legal reasoning in foundation models
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
RAG that intelligently adapts to your use case, data, and queries
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Analytics, Versioning and ETL for multimodal data: video, audio, PDFs, images
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
PyTorch native quantization and sparsity for training and inference
Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
SpaCyEx allows the creation of spaCy Matcher patterns with RegEx like syntax.
A collection of learning resources for curious software engineers
Modeling, training, eval, and inference code for OLMo
Machine Learning Engineering Open Book