🦜🔗 Build context-aware reasoning applications

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Neural Networks: Zero to Hero

Jupyter Interactive Notebook

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

LAVIS - A One-stop Library for Language-Vision Intelligence

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

A self-organizing file system with llama 3

AI Observability & Evaluation

Python Productivity for ZYNQ

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

cluster data collected from production clusters in Alibaba for cluster management research

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

OmniXAI: A Library for eXplainable AI

Microsoft Azure Traces

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active le…

Providing tools and templates to facilitate modern MLOps practices

A benchmark of data-centric tasks from across the machine learning lifecycle.

Multi-Instance-GPU profiling tool