MekkCyber / TritonAcademy
A repository to unravel the language of GPUs, making their kernel conversations easy to understand
☆180Updated last week
Alternatives and similar repositories for TritonAcademy:
Users that are interested in TritonAcademy are comparing it to the libraries listed below
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆169Updated last month
- ☆159Updated 4 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆342Updated last month
- GPU Kernels☆172Updated last week
- ☆181Updated 2 months ago
- An extension of the nanoGPT repository for training small MOE models.☆138Updated last month
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆65Updated last month
- ☆155Updated last year
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆130Updated last year
- Cataloging released Triton kernels.☆220Updated 3 months ago
- ring-attention experiments☆132Updated 6 months ago
- Learning about CUDA by writing PTX code.☆128Updated last year
- ☆202Updated last week
- making the official triton tutorials actually comprehensible☆27Updated last month
- ☆296Updated 3 weeks ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆536Updated last week
- Fast low-bit matmul kernels in Triton☆295Updated this week
- Write a fast kernel and run it on Discord. See how you compare against the best!☆44Updated this week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆244Updated this week
- Best practices & guides on how to write distributed pytorch training code☆406Updated 2 months ago
- 100 days of building GPU kernels!☆399Updated last week
- PyTorch per step fault tolerance (actively under development)☆291Updated this week
- Applied AI experiments and examples for PyTorch☆262Updated last week
- Atropos is a Language Model Reinforcement Learning Environments framework for collecting and evaluating LLM trajectories through diverse …☆171Updated this week
- Learnings and programs related to CUDA☆380Updated 2 months ago
- Load compute kernels from the Hub☆115Updated last week
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆258Updated last week
- LLM KV cache compression made easy☆471Updated this week
- Collection of kernels written in Triton language☆120Updated last month
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆291Updated this week