Alternatives and similar repositories for GPU-Puzzles

Users that are interested in GPU-Puzzles are comparing it to the libraries listed below

• srush / Tensor-Puzzles
  Solve puzzles. Improve your pytorch.
  ☆3,651Updated last year
• gpu-mode / lectures
  Material for gpu-mode lectures
  ☆4,752Updated last month
• stas00 / ml-engineering
  Machine Learning Engineering Open Book
  ☆14,454Updated this week
• adam-maj / tiny-gpu
  A minimal GPU design in Verilog to learn how GPUs work from the ground up
  ☆8,591Updated 11 months ago
• minitorch / minitorch
  The full minitorch student suite.
  ☆2,131Updated 11 months ago
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆1,769Updated 8 months ago
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,625Updated 6 months ago
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆2,523Updated last week
• NVIDIA / warp
  A Python framework for accelerated simulation, data generation and spatial computing.
  ☆5,319Updated this week
• KellerJordan / modded-nanogpt
  NanoGPT (124M) in 3 minutes
  ☆2,851Updated last week
• aylazai / Stock-Trend-Prediction
  This project is a stock trend prediction web application created using Python and Streamlit. The purpose of this web application is to al…
  ☆10Updated 2 years ago
• pytorch / torchtitan
  A PyTorch native platform for training generative AI models
  ☆4,093Updated this week
• karpathy / llm.c
  LLM training in simple, raw C/CUDA
  ☆27,176Updated 3 weeks ago
• AnswerDotAI / gpu.cpp
  A lightweight library for portable low-level GPU computation using WebGPU.
  ☆3,880Updated last week
• karpathy / micrograd
  A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
  ☆12,350Updated 11 months ago
• karpathy / minbpe
  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
  ☆9,761Updated last year
• pytorch-labs / gpt-fast
  Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
  ☆6,033Updated 3 months ago
• linkedin / Liger-Kernel
  Efficient Triton Kernels for LLM Training
  ☆5,390Updated this week
• google-deepmind / penzai
  A JAX research toolkit for building, editing, and visualizing neural networks.
  ☆1,804Updated last month
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,064Updated last year
• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆32,853Updated this week
• facebookincubator / AITemplate
  AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…
  ☆4,659Updated 3 months ago
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,370Updated this week
• naklecha / llama3-from-scratch
  llama3 implementation one matrix multiplication at a time
  ☆15,050Updated last year
• NVIDIA / cuda-python
  CUDA Python: Performance meets Productivity
  ☆2,835Updated this week
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆9,042Updated 3 weeks ago
• facebookresearch / lingua
  Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
  ☆4,652Updated this week
• karpathy / build-nanogpt
  Video+code lecture on building nanoGPT from scratch
  ☆4,228Updated 11 months ago
• XuehaiPan / nvitop
  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
  ☆5,742Updated 2 weeks ago
• Infatoshi / cuda-course
  ☆1,289Updated 3 weeks ago