Alternatives and similar repositories for memory

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

• shangshang-wang / Tina
  Tina: Tiny Reasoning Models via LoRA
  ☆310Updated 2 months ago
• sail-sg / oat
  🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
  ☆582Updated last month
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆349Updated 7 months ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆249Updated 10 months ago
• hao-ai-lab / Consistency_LLM
  [ICML 2024] CLLMs: Consistency Large Language Models
  ☆408Updated last year
• microsoft / LongRoPE
  LongRoPE is a novel method that can extends the context window of pre-trained LLMs to an impressive 2048k tokens.
  ☆276Updated last month
• facebookresearch / RAM
  A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
  ☆332Updated this week
• ZihanWang314 / CoE
  Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models
  ☆226Updated last month
• QwenLM / ParScale
  Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
  ☆463Updated 7 months ago
• dingo-actual / infini-transformer
  PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention…
  ☆294Updated last year
• NVlabs / hymba
  ☆205Updated last year
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆202Updated last year
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆305Updated 2 weeks ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆193Updated last year
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆173Updated 11 months ago
• huggingface / picotron_tutorial
  ☆225Updated 3 weeks ago
• NVIDIA-NeMo / Skills
  A project to improve skills of large language models
  ☆665Updated this week
• sunblaze-ucb / Intuitor
  Code for the paper: "Learning to Reason without External Rewards"
  ☆383Updated 5 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆218Updated 9 months ago
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆186Updated 10 months ago
• allenai / OLMo-core
  PyTorch building blocks for the OLMo ecosystem
  ☆563Updated this week
• SakanaAI / evo-memory
  Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.
  ☆343Updated last year
• ekinakyurek / marc
  Public repository for "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning"
  ☆340Updated last month
• allenai / olmes
  Reproducible, flexible LLM evaluations
  ☆305Updated last month
• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆233Updated 2 months ago
• ServiceNow / PipelineRL
  A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
  ☆336Updated this week
• eqimp / hogwild_llm
  Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
  ☆136Updated 4 months ago
• seal-rg / recurrent-pretraining
  Pretraining and inference code for a large-scale depth-recurrent language model
  ☆855Updated 2 months ago
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆162Updated 8 months ago
• Mohammadjafari80 / GSM8K-RLVR
  A simplified implementation for experimenting with RLVR on GSM8K, This repository provides a starting point for exploring reasoning.
  ☆149Updated 10 months ago