Parallel Hyperparameter Tuning in Python

Public repository for "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning"

Refine high-quality datasets and visual AI models

Spatio-Temporal Metric-Semantic SLAM

Knowledge Graph Embeddings (KGE) for RAG-LLMs. Our goal was to compare the mathematical differences between Traditional Static Multimodal Vector Embeddings (TVE) from Word2Vec and CLIP encoders fo…

Official implementation of the paper "The Stable Signature Rooting Watermarks in Latent Diffusion Models"

An open source implementation of CLIP.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Machine Learning Engineering Open Book

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it …

Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.

A comprehensive benchmark of deepfake detection

Tensorflow-Based Approach to Handling Single-Step and Iterated Forecasting

Financial datasets for LLMs 🧪

The LLM Evaluation Framework

Summaries for exciting works in the field of Deep Learning.

Code for the paper "Benchmarking Object Detectors with COCO: A New Path Forward."