Alternatives and similar repositories for circuit_sparsity

Users that are interested in circuit_sparsity are comparing it to the libraries listed below

• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆308Updated 2 months ago
• tokenbender / avataRL
  rl from zero pretrain, can it be done? yes.
  ☆286Updated 4 months ago
• SakanaAI / RLT
  Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.
  ☆358Updated 7 months ago
• test-time-training / discover
  ☆394Updated 2 weeks ago
• test-time-training / e2e
  Official JAX implementation of End-to-End Test-Time Training for Long Context
  ☆520Updated 2 weeks ago
• aakaran / reasoning-with-sampling
  ☆388Updated 3 months ago
• shangshang-wang / Tina
  [ICLR 2026] Tina: Tiny Reasoning Models via LoRA
  ☆319Updated 4 months ago
• SakanaAI / DroPE
  Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
  ☆203Updated last month
• goodfire-ai / r1-interpretability
  Open source interpretability artefacts for R1.
  ☆170Updated 9 months ago
• ZihanWang314 / CoE
  Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models
  ☆228Updated 3 months ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆371Updated last year
• open-tinker / OpenTinker
  OpenTinker is an RL-as-a-Service infrastructure for foundation models
  ☆625Updated 2 weeks ago
• HazyResearch / cartridges
  Storing long contexts in tiny caches with self-study
  ☆236Updated 2 months ago
• brendanhogan / DeepSeekRL-Extended
  Exploring Applications of GRPO
  ☆251Updated 5 months ago
• facebookresearch / PhysicsLM4
  Physics of Language Models: Part 4.2, Canon Layers at Scale where Synthetic Pretraining Resonates in Reality
  ☆317Updated last month
• eqimp / hogwild_llm
  Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
  ☆140Updated 5 months ago
• QwenLM / ParScale
  Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
  ☆469Updated 8 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆334Updated 3 months ago
• allenai / OLMo-core
  PyTorch building blocks for the OLMo ecosystem
  ☆785Updated this week
• VsonicV / es-fine-tuning-paper
  This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"
  ☆292Updated 2 months ago
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆110Updated 11 months ago
• MoonshotAI / Kimi-Linear
  ☆1,289Updated 2 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆236Updated 11 months ago
• raymin0223 / mixture_of_recursions
  Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation (NeurIPS 2025)
  ☆542Updated 4 months ago
• google-deepmind / alphaevolve_results
  ☆259Updated last month
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆175Updated last year
• facebookresearch / RAM
  A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
  ☆344Updated last month
• facebookresearch / llm-speedrunner
  The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…
  ☆128Updated 4 months ago
• thinking-machines-lab / tinker
  Training API and CLI
  ☆330Updated this week
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆198Updated last year