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.
☆281Updated 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:
- ☆230Updated 2 weeks ago
- This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"☆229Updated this week
- Simple & Scalable Pretraining for Neural Architecture Research☆298Updated this week
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆188Updated 7 months ago
- ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution☆609Updated this week
- Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.☆325Updated last year
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆347Updated 10 months ago
- RLP: Reinforcement as a Pretraining Objective☆195Updated 3 weeks ago
- Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.☆347Updated 4 months ago
- Super basic implementation (gist-like) of RLMs with REPL environments.☆228Updated 2 weeks ago
- Source code for the collaborative reasoner research project at Meta FAIR.☆103Updated 6 months ago
- An interface library for RL post training with environments.☆461Updated this week
- Implementation of SOAR☆42Updated last month
- Train your own SOTA deductive reasoning model☆109Updated 7 months ago
- Public repository for "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning"☆333Updated 11 months ago
- Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache☆129Updated 2 months ago
- The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…☆109Updated 3 weeks ago
- Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike stat…☆330Updated this week
- ☆231Updated 4 months ago
- Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.☆116Updated last week
- All information and news with respect to Falcon-H1 series☆91Updated 3 weeks ago
- Matrix (Multi-Agent daTa geneRation Infra and eXperimentation framework) is a versatile engine for multi-agent conversational data genera…☆99Updated this week
- Training API☆195Updated 2 weeks ago
- PyTorch-native post-training at scale☆388Updated this week
- ☆92Updated last month
- Storing long contexts in tiny caches with self-study☆205Updated 2 weeks ago
- The code repository of the paper: Competition and Attraction Improve Model Fusion☆161Updated 2 months ago
- ☆149Updated 2 months ago
- Official codebase for "Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions" (Matrenok …☆27Updated 3 months ago
- Collection of scripts and notebooks for OpenAI's latest GPT OSS models☆468Updated 2 months ago