Alternatives and similar repositories for cs-self-learning

Users that are interested in cs-self-learning are comparing it to the libraries listed below

• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆146Updated 2 weeks ago
• pprp / ultrascale-playbook-zh
  UltraScale Playbook 中文版
  ☆68Updated 5 months ago
• ifromeast / cuda_learning
  learning how CUDA works
  ☆300Updated 5 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆102Updated last month
• iclementine / optimize_softmax
  Optimize softmax in triton in many cases
  ☆21Updated 11 months ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆449Updated last year
• zjhellofss / KuiperLLama
  校招、秋招、春招、实习好项目，带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。
  ☆410Updated last month
• zjhellofss / triton_course
  ☆35Updated 3 months ago
• PaddleJitLab / CUDATutorial
  A self-learning tutorail for CUDA High Performance Programing.
  ☆712Updated last month
• RussWong / LLM-engineering
  ☆25Updated 2 weeks ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆60Updated 9 months ago
• KarhouTam / cuda-kernels
  Some common CUDA kernel implementations (Not the fastest).
  ☆23Updated last week
• sunkx109 / llama.cpp
  llama 2 Inference
  ☆41Updated last year
• OpenPPL / ppl.llm.kernel.cuda
  ☆150Updated 7 months ago
• GetUpEarlier / minit
  ☆27Updated last year
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆154Updated 7 months ago
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆248Updated last year
• ModelTC / LightCompress
  [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a V…
  ☆547Updated last week
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆69Updated 2 years ago
• ppppppppig / lite_lang
  一个轻量化的大模型推理框架
  ☆20Updated 2 months ago
• OpenPPL / ppl.nn.llm
  ☆140Updated last year
• harleyszhang / llm_note
  LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
  ☆812Updated this week
• AyakaGEMM / Hands-on-GEMM
  ☆138Updated last year
• JackonYang / hands-on-tvm
  hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.
  ☆49Updated 2 years ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆219Updated last month
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆45Updated last year
• OpenPPL / ppl.pmx
  ☆59Updated 9 months ago
• OpenPPL / ppl.llm.serving
  ☆128Updated 8 months ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆211Updated 2 weeks ago
• Syencil / Programming_Massively_Parallel_Processors
  CUDA 6大并行计算模式 代码与笔记
  ☆60Updated 5 years ago