Alternatives and similar repositories for tinygrad-tensor-puzzles

Users that are interested in tinygrad-tensor-puzzles are comparing it to the libraries listed below

• mesozoic-egg / tinygrad-notes
  Tutorials on tinygrad
  ☆449Updated 3 months ago
• geohotstan / tinycorp-meetings
  ☆97Updated this week
• smolorg / smolgrad
  small auto-grad engine inspired from Karpathy's micrograd and PyTorch
  ☆276Updated last year
• spikedoanz / tensor-tic-tac-toe
  parallelized hyperdimensional tictactoe
  ☆126Updated last year
• arpitingle / gpu-alpha
  High Quality Resources on GPU Programming/Architecture
  ☆591Updated last year
• spikedoanz / from-bits-to-intelligence
  could we make an ml stack in 100,000 lines of code?
  ☆46Updated 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
• MarioSieg / magnetron
  (WIP) A small but powerful, homemade PyTorch from scratch.
  ☆665Updated 3 weeks ago
• xjdr-alt / simple_transformer
  Simple Transformer in Jax
  ☆142Updated last year
• tinygrad / teenygrad
  If tinygrad wasn't small enough for you...
  ☆767Updated last year
• commaai / controls_challenge
  Can you design a controller to steer a simulated car?
  ☆335Updated 5 months ago
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆198Updated 9 years ago
• modular / mojo-gpu-puzzles
  Learn GPU Programming in Mojo🔥 by Solving Puzzles
  ☆276Updated this week
• abeleinin / Metal-Puzzles
  Solve Puzzles. Learn Metal 🤘
  ☆597Updated last year
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆151Updated last year
• smolorg / smolar
  a tiny multidimensional array implementation in C similar to numpy, but only one file.
  ☆225Updated last year
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆432Updated 6 months ago
• Quentin-Anthony / torch-profiling-tutorial
  ☆538Updated 5 months ago
• geohot / gpunoob
  Noob Lessons from Stream about how GPUs work
  ☆135Updated 8 months ago
• haraschax / nograd
  Gradient descent is cool and all, but what if we could delete it?
  ☆105Updated 4 months ago
• naklecha / llm-inference-optimizations-explained
  in this repository, i'm going to implement increasingly complex llm inference optimizations
  ☆81Updated 7 months ago
• apoorvnandan / lilgrad
  pytorch from scratch in pure C/CUDA and python
  ☆41Updated last year
• jla524 / fromthetensor
  From the Tensor to Stable Diffusion, a rough outline for a 1 week course.
  ☆1,073Updated 3 months ago
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆99Updated 7 months ago
• tinygrad / 7900xtx
  ☆451Updated 9 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆231Updated this week
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆202Updated 2 years ago
• omkaark / simple-federated-learning
  ☆96Updated last year
• nreHieW / r-nn
  Tensor library with autograd using only Rust's standard library
  ☆71Updated last year
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆453Updated 10 months ago