Alternatives and similar repositories for lecture2

Users that are interested in lecture2 are comparing it to the libraries listed below

• huggingface / optimum-benchmark
  🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…
  ☆315Updated 2 weeks ago
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆265Updated last year
• gpu-mode / profiling-cuda-in-torch
  ☆173Updated last year
• huggingface / picotron_tutorial
  ☆222Updated last week
• hkproj / triton-flash-attention
  ☆206Updated 9 months ago
• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆503Updated 3 weeks ago
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆198Updated 9 years ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆420Updated 7 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆85Updated 2 weeks ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆196Updated 7 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆194Updated 4 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆230Updated 5 months ago
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆112Updated 4 months ago
• HenryNdubuaku / cuda-tutorials
  CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.
  ☆194Updated 4 months ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆55Updated last month
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆332Updated last year
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆284Updated 2 months ago
• EmbeddedLLM / vllm
  vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆90Updated this week
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆190Updated 2 years ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆290Updated 2 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆261Updated last month
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆379Updated 2 weeks ago
• rasbt / dora-from-scratch
  LoRA and DoRA from Scratch Implementations
  ☆211Updated last year
• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆110Updated last year
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆341Updated 5 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆296Updated last month
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆642Updated this week
• run-ai / llmperf
  ☆58Updated last year
• 1y33 / 100Days
  GPU Kernels
  ☆200Updated 5 months ago
• vllm-project / recipes
  Common recipes to run vLLM
  ☆154Updated this week