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If you believe there's a paper, problem, or project, especially in the domains of AI, CTF, or Competitive Programming that could benefit from an open-source implementation, I'd love to hear from you! Please use this form link to share your ideas or reach out to me directly via mail or Discord. I welcome all suggestions!

Projects

  • self-compressing-nn-jax JAX Implementation of the paper https://arxiv.org/pdf/2301.13142 ported from gehots tinygrad version. repo
  • llama.jl Inference Llama 2 in one file of pure C. Nahh wait, now fresh in Julia! repo
  • CoPE-cuda Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719 repo
  • Competitive-Coding-Benchmark Benchmark LLMs against a set of high quality representative competitive coding problems sourced from cses.fi repo
  • nngdb An terminal based neural-network Interpretability-tool that feels like gdb repo
  • cudatiger An accelerated implementation of the Tiger optimizer for PyTorch, supercharged with Triton for enhanced CUDA GPU efficiency. More Memory efficient than Adam. https://kexue.fm/archives/9512 repo
  • tinyfep A simplified and abstracted rendition of FEP+ (Free Energy Perturbation) for molecular simulations. https://www.schrodinger.com/products/fep repo
  • betterwords.lol Expand human vocabulary with gpt-3.5-turbo or finetuned llama-2 in React link

Models

Datasets

juvi's Projects

cope-cuda icon cope-cuda

Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719

cudatiger icon cudatiger

An accelerated implementation of the Tiger optimizer for PyTorch, supercharged with Triton for enhanced CUDA GPU efficiency. More Memory efficient than Adam. https://kexue.fm/archives/9512

efficient-kan icon efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

leanmathproofs icon leanmathproofs

various math proofs for fun me trying out lean and I consider worth sharing

llama2.jl icon llama2.jl

Inference Llama 2 in one file of pure C. Nahh wait, now fresh in Julia!

nngdb icon nngdb

An terminal based interpretability Tool that feels like gdb

self-compressing-nn-jax icon self-compressing-nn-jax

Implementation of Self-Compressing Neural Networks in JAX https://arxiv.org/pdf/2301.13142 ported from tinygrad https://github.com/geohot/ai-notebooks/blob/master/mnist_self_compression.ipynb

shallowspeed icon shallowspeed

Small scale distributed training of sequential deep learning models, built on Numpy and MPI.

tinyfep icon tinyfep

A simplified and abstracted rendition of FEP+ (Free Energy Perturbation) for molecular simulations. https://www.schrodinger.com/products/fep

tinygrad icon tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

warp-pytorch icon warp-pytorch

Pytorch implementation of: https://arxiv.org/pdf/2406.16768v1

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