janhq / visual-thinkerLinks
☆178Updated 2 months ago
Alternatives and similar repositories for visual-thinker
Users that are interested in visual-thinker are comparing it to the libraries listed below
Sorting:
- Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.☆346Updated 4 months ago
- Build your own visual reasoning model☆413Updated 3 weeks ago
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆172Updated 9 months ago
- ☆218Updated 8 months ago
- Tina: Tiny Reasoning Models via LoRA☆302Updated last month
- ☆93Updated 4 months ago
- GRadient-INformed MoE☆264Updated last year
- ☆158Updated 6 months ago
- Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"☆267Updated last week
- Exploring Applications of GRPO☆248Updated 2 months ago
- Code for the paper: "Learning to Reason without External Rewards"☆366Updated 3 months ago
- 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
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆79Updated 7 months ago
- This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"☆209Updated last week
- Clue inspired puzzles for testing LLM deduction abilities☆44Updated 7 months ago
- minimal GRPO implementation from scratch☆98Updated 7 months ago
- Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.☆325Updated last year
- Easy to use, High Performant Knowledge Distillation for LLMs☆94Updated 5 months ago
- Code for ExploreTom☆86Updated 4 months ago
- A compact LLM pretrained in 9 days by using high quality data☆330Updated 6 months ago
- Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcemen…☆453Updated last month
- A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).☆295Updated this week
- Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache☆127Updated 2 months ago
- Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory☆159Updated 5 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆110Updated 6 months ago
- From scratch implementation of a vision language model in pure PyTorch☆246Updated last year
- Train your own SOTA deductive reasoning model☆109Updated 7 months ago
- Simple & Scalable Pretraining for Neural Architecture Research☆297Updated 2 months ago
- Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models☆222Updated last month
- RLP: Reinforcement as a Pretraining Objective☆192Updated 3 weeks ago