Alternatives and similar repositories for compute-optimal-tts

Users that are interested in compute-optimal-tts are comparing it to the libraries listed below

• Gen-Verse / ReasonFlux
  ReasonFlux Series - A family of LLM post-training algorithms focusing on data selection, reinforcement learning, and inference scaling
  ☆470Updated 2 weeks ago
• knoveleng / open-rs
  Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"
  ☆248Updated 2 months ago
• cmu-l3 / l1
  L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
  ☆234Updated 2 months ago
• ypwang61 / One-Shot-RLVR
  official repository for “Reinforcement Learning for Reasoning in Large Language Models with One Training Example”
  ☆337Updated last week
• eddycmu / demystify-long-cot
  ☆309Updated 2 months ago
• multimodal-art-projection / LatentCoT-Horizon
  📖 This is a repository for organizing papers, codes, and other resources related to Latent Reasoning.
  ☆171Updated this week
• QwenLM / ParScale
  Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
  ☆428Updated 2 months ago
• RUC-GSAI / YuLan-Mini
  A highly capable 2.4B lightweight LLM using only 1T pre-training data with all details.
  ☆200Updated last week
• InternLM / OREAL
  Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
  ☆188Updated 4 months ago
• shangshang-wang / Tina
  Tina: Tiny Reasoning Models via LoRA
  ☆274Updated 2 months ago
• ADaM-BJTU / O1-CODER
  AN O1 REPLICATION FOR CODING
  ☆336Updated 7 months ago
• sunblaze-ucb / Intuitor
  Code for the paper: "Learning to Reason without External Rewards"
  ☆344Updated 3 weeks ago
• ZihanWang314 / CoE
  Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models
  ☆219Updated last month
• facebookresearch / sweet_rl
  Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks
  ☆233Updated 3 months ago
• ChenxinAn-fdu / POLARIS
  Scaling RL on advanced reasoning models
  ☆543Updated this week
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆169Updated 3 weeks ago
• PRIME-RL / TTRL
  TTRL: Test-Time Reinforcement Learning
  ☆745Updated 3 weeks ago
• BytedTsinghua-SIA / MemAgent
  A MemAgent framework that can be extrapolated to 3.5M, along with a training framework for RL training of any agent workflow.
  ☆548Updated this week
• JT-Ushio / MHA2MLA
  Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
  ☆183Updated last month
• InternLM / POLAR
  Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.
  ☆140Updated 3 weeks ago
• ByteDance-Seed / Agent-R
  Resources for our paper: "Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training"
  ☆154Updated last month
• GAIR-NLP / ToRL
  ☆258Updated 2 months ago
• ruixin31 / Spurious_Rewards
  ☆322Updated last week
• ElliottYan / LUFFY
  Official Repository of "Learning to Reason under Off-Policy Guidance"
  ☆268Updated 3 weeks ago
• GAIR-NLP / MAYE
  Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
  ☆138Updated 3 months ago
• microsoft / rStar
  ☆608Updated 3 weeks ago
• TIGER-AI-Lab / verl-tool
  A version of verl to support tool use
  ☆312Updated this week
• dongguanting / ARPO
  The official code of “Agentic Reinforced Policy Optimization”, an agentic RL algorithm optimization.
  ☆383Updated this week
• ReTool-RL / ReTool
  ☆174Updated 3 months ago
• SuperGPQA / SuperGPQA
  ☆157Updated 3 months ago