google-deepmind / regress-lmLinks
Library for text-to-text regression, applicable to any input string representation and allows pretraining and fine-tuning over multiple regression tasks.
☆268Updated this week
Alternatives and similar repositories for regress-lm
Users that are interested in regress-lm are comparing it to the libraries listed below
Sorting:
- Simple & Scalable Pretraining for Neural Architecture Research☆296Updated last month
- RLP: Reinforcement as a Pretraining Objective☆155Updated this week
- This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"☆114Updated this week
- Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.☆322Updated 11 months ago
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆184Updated 7 months ago
- ☆225Updated 3 months ago
- Code for ExploreTom☆86Updated 3 months ago
- Matrix (Multi-Agent daTa geneRation Infra and eXperimentation framework) is a versatile engine for multi-agent conversational data genera…☆96Updated this week
- ☆114Updated last month
- Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.☆343Updated 3 months ago
- Official codebase for "Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions" (Matrenok …☆27Updated 2 months ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆342Updated 10 months ago
- The code repository of the paper: Competition and Attraction Improve Model Fusion☆159Updated last month
- ☆230Updated 2 months ago
- Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache☆125Updated last month
- ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution☆519Updated last week
- Source code of "How to Correctly do Semantic Backpropagation on Language-based Agentic Systems" 🤖☆75Updated 10 months ago
- Training-Ready RL Environments + Evals☆121Updated this week
- All information and news with respect to Falcon-H1 series☆90Updated this week
- Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike stat…☆282Updated 2 weeks ago
- Train your own SOTA deductive reasoning model☆107Updated 7 months ago
- Source code for the collaborative reasoner research project at Meta FAIR.☆102Updated 5 months ago
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆207Updated this week
- The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…☆99Updated this week
- Implementation of SOAR☆42Updated 3 weeks ago
- AIRA-dojo: a framework for developing and evaluating AI research agents☆96Updated 2 weeks ago
- Storing long contexts in tiny caches with self-study☆194Updated 3 weeks ago
- ☆88Updated last week
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆341Updated 5 months ago
- Dion optimizer algorithm☆361Updated last week