ulrichstern / cuda-convnetLinks
Alex Krizhevsky's original code from Google Code
☆198Updated 9 years ago
Alternatives and similar repositories for cuda-convnet
Users that are interested in cuda-convnet are comparing it to the libraries listed below
Sorting:
- UNet diffusion model in pure CUDA☆655Updated last year
- A really tiny autograd engine☆96Updated 6 months ago
- Learning about CUDA by writing PTX code.☆148Updated last year
- ☆177Updated last year
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆195Updated 2 years ago
- Simple MPI implementation for prototyping or learning☆291Updated 3 months ago
- Simple Byte pair Encoding mechanism used for tokenization process . written purely in C☆139Updated last year
- Learnings and programs related to CUDA☆426Updated 5 months ago
- ☆532Updated 3 months ago
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆196Updated 6 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆277Updated last year
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆151Updated 2 years ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆660Updated this week
- Quantized LLM training in pure CUDA/C++.☆220Updated this week
- in this repository, i'm going to implement increasingly complex llm inference optimizations☆70Updated 6 months ago
- ☆90Updated last year
- Solve puzzles. Learn CUDA.☆64Updated last year
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆437Updated 8 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆313Updated last month
- Multi-Threaded FP32 Matrix Multiplication on x86 CPUs☆368Updated 7 months ago
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆710Updated this week
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆164Updated this week
- Tutorials on tinygrad☆441Updated last month
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 8 months ago
- Fast bare-bones BPE for modern tokenizer training☆171Updated 5 months ago
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆589Updated 5 months ago
- SIMD quantization kernels☆92Updated 2 months ago
- Simple Transformer in Jax☆139Updated last year
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆584Updated 3 months ago