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Paper list for Efficient Reasoning.
A curated list of resources for activation engineering
A resource repository for representation engineering in large language models
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
Fully open reproduction of DeepSeek-R1
verl: Volcano Engine Reinforcement Learning for LLMs
RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks (ICML 2024)
Explorations into some recent techniques surrounding speculative decoding
Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models know themselves through automated interpretability.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
OpenMMLab Pose Estimation Toolbox and Benchmark.
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A repository containing the implementations about our machine learning researches on sequence data and sequential decision making.
End-to-end Generative Optimization for AI Agents
A probabilitic model for contextual word representation. Accepted to ACL2023 Findings.
The machine learning toolkit for time series analysis in Python
Code repository for TIDMAD: Time series Dataset for Discovering Dark Matter with AI Denoising.
Recipes to train reward model for RLHF.
The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF.
Modeling, training, eval, and inference code for OLMo
This repository collects all relevant resources about interpretability in LLMs
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.