Alternatives and similar repositories for smolgrad

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

• 0xD4rky / Vision-Transformers
  This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…
  ☆228Updated 10 months ago
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆426Updated 4 months ago
• 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
• arpitingle / gpu-alpha
  High Quality Resources on GPU Programming/Architecture
  ☆590Updated last year
• MarioSieg / magnetron
  (WIP) A small but powerful, homemade PyTorch from scratch.
  ☆656Updated this week
• smolorg / smolar
  a tiny multidimensional array implementation in C similar to numpy, but only one file.
  ☆228Updated last year
• saurabhaloneai / History-of-Deep-Learning
  learningggggggg 🐳
  ☆553Updated 7 months ago
• obadakhalili / tinygrad-tensor-puzzles
  Solve puzzles to improve your tinygrad skills!
  ☆151Updated last month
• naklecha / llm-inference-optimizations-explained
  in this repository, i'm going to implement increasingly complex llm inference optimizations
  ☆70Updated 5 months ago
• victor-explore / AI-Q-Papers-IISC-Banglore
  Question paper of courses taught at IISC as part of MTech AI curriculum
  ☆103Updated 11 months ago
• cneuralnetwork / ML-Project-CLI
  a simple CLI command that will create a template of a generic ML Project
  ☆81Updated last year
• YuvrajSingh-mist / Paper-Replications
  A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch
  ☆387Updated last week
• 1y33 / 100Days
  GPU Kernels
  ☆206Updated 6 months ago
• neu-reseau / neugrad
  This is a small autograd engine, made purely from numpy and python.
  ☆27Updated last year
• omkaark / simple-federated-learning
  ☆96Updated last year
• hkproj / 100-days-of-gpu
  ☆397Updated 7 months ago
• astledsa / Deep-Learning-C
  An implement of deep learning framework and models in C
  ☆48Updated 7 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆428Updated 8 months ago
• Quentin-Anthony / torch-profiling-tutorial
  ☆525Updated 3 months ago
• goyalpramod / Foundational-ML-papers
  Implementations of Papers that I read, you can read my breakdown in my blog
  ☆87Updated 3 weeks ago
• smolorg / smolvecstore
  a tiny vectorstore implementation built with numpy.
  ☆63Updated last year
• tugot17 / pmpp
  Complete solutions to the Programming Massively Parallel Processors Edition 4
  ☆571Updated 4 months ago
• seatedro / arxival
  ☆93Updated 9 months ago
• spikedoanz / tensor-tic-tac-toe
  parallelized hyperdimensional tictactoe
  ☆125Updated last year
• apoorvnandan / lilgrad
  pytorch from scratch in pure C/CUDA and python
  ☆41Updated last year
• spikedoanz / from-bits-to-intelligence
  could we make an ml stack in 100,000 lines of code?
  ☆46Updated last year
• YuvrajSingh-mist / NeatRL
  Repository of implementations of classic and sota rl algorithms from scratch in PyTorch
  ☆207Updated last week
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆97Updated 5 months ago
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆198Updated 9 years ago
• loganwatchorn / notes-pmpp
  Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)
  ☆53Updated last year