Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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Updated
Aug 15, 2024 - Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
2nd brain scratchmemory to avoid overrun errors with self.
RNA-seq pipeline for raw sequence alignment and transcript/gene quantification.
Functional Data Analysis Python package
Toolset for checking differences in recognising semantic relation presence by: (1) large language models 🤖 and (2) annotators / experts ✍️
SimPO: Simple Preference Optimization with a Reference-Free Reward
Realign is a AI testing and simulation framework for multi-turn AI applications. It simulates user interactions, evaluates AI performance, and generates adversarial scenarios to test LLM vulnerabilities.
Official repository for "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient and high-quality synthetic data generation pipeline!
A python library providing measures of multiway issue alignment.
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
Assembly of Phylogenomic Datasets from High-Throughput Sequencing data
ClusterFinder Pipeline This repository contains a comprehensive pipeline for sequence alignment, distance calculation, clustering, and generating final tables of results. The pipeline integrates multiple tools and scripts written in Python, R, and Shell scripts.
Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
Finite-Element Assisted Brain Assembly System for stitching & alignment of connectomics data
Data and models for the paper "Configurable Safety Tuning of Language Models with Synthetic Preference Data"
Python package for extracting representations from state-of-the-art computer vision models
[Paper][ACM MM 2023] MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
A framework to evaluate the generalization capability of safety alignment for LLMs
Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.
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