Alternatives and similar repositories for llm-inference-optimizations-explained

Users that are interested in llm-inference-optimizations-explained are comparing it to the libraries listed below

• tokenbender / avataRL
  rl from zero pretrain, can it be done? yes.
  ☆286Updated 3 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆195Updated 7 months ago
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆73Updated 8 months ago
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆109Updated 10 months ago
• kmohan321 / Research_Papers
  ☆46Updated 9 months ago
• xjdr-alt / simple_transformer
  Simple Transformer in Jax
  ☆142Updated last year
• PrimeIntellect-ai / pi-quant
  SIMD quantization kernels
  ☆93Updated 4 months ago
• smolorg / smolgrad
  small auto-grad engine inspired from Karpathy's micrograd and PyTorch
  ☆276Updated last year
• Laz4rz / GPT-2
  Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish
  ☆172Updated last year
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆231Updated this week
• Infatoshi / docs.md
  ☆87Updated last month
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 9 months ago
• RiddleHe / llm-interp
  A collection of lightweight interpretability scripts to understand how LLMs think
  ☆88Updated this week
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆99Updated 7 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆151Updated last year
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆328Updated 2 months ago
• Noumena-Network / nmoe
  MoE training for Me and You and maybe other people
  ☆319Updated 2 weeks ago
• nano-R1 / resources
  Compiling useful links, papers, benchmarks, ideas, etc.
  ☆46Updated 10 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆306Updated last month
• PrimeIntellect-ai / prime-environments
  Curated collection of community environments
  ☆204Updated this week
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆432Updated 6 months ago
• divyamakkar0 / JAXformer
  A zero-to-one guide on scaling modern transformers with n-dimensional parallelism.
  ☆113Updated 2 weeks ago
• brendanhogan / picoDeepResearch
  ☆68Updated 7 months ago
• N8python / mlx-pretrain
  A simple MLX implementation for pretraining LLMs on Apple Silicon.
  ☆85Updated 4 months ago
• omkaark / simple-federated-learning
  ☆96Updated last year
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆85Updated this week
• joey00072 / Multi-Head-Latent-Attention-MLA-
  working implimention of deepseek MLA
  ☆45Updated last year
• HazyResearch / cartridges
  Storing long contexts in tiny caches with self-study
  ☆229Updated last month
• brendanhogan / DeepSeekRL-Extended
  Exploring Applications of GRPO
  ☆252Updated 4 months ago
• smolorg / smoltropix
  MLX port for xjdr's entropix sampler (mimics jax implementation)
  ☆61Updated last year