Alignment Lab AI's Projects
Code accompanying the paper "R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents"
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Locating and editing factual associations in GPT (NeurIPS 2022)
A Json based Rules Engine with extensive Dynamic expression support
Semantic flow graphs for data science
SGPT: GPT Sentence Embeddings for Semantic Search
SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.
Compact, ultra-fast SoTA reranker enhancing retrieval pipelines and terminal applications.
various scripts im using to generate data for a few puposes. example uses and functionality should be commented at the bottom of each. would not mind prs with similar scripts to add to the pile
A code-first agent framework for seamlessly planning and executing data analytics tasks.
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Text-to-LogicForm is a simple code for leveraging a syntactic graph for semantic parsing using a nov
distill chatGPT coding ability into small model (1b)
Development repository for the Triton language and compiler
A HOL-based framework for reasoning over knowledge graphs
UniSim is a package for efficient similarity computation, fuzzy matching, and clustering of data.
Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.
WikiCausal: Corpus and Task for Evaluation of Causal Knowledge Graph Construction