-
CSCS
- CH
Highlights
- Pro
Starred repositories
Box64 - Linux Userspace x86_64 Emulator with a twist, targeted at ARM64, RV64 and LoongArch Linux devices
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
GitHub Copilot LLM Gateway is a companion extension for GitHub Copilot that adds support for self-hosted open-source models. It seamlessly integrates with the Copilot chat experience, allowing you …
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
eth-cscs / slidev-theme-cscs
Forked from DropD/slidev-theme-cscsA CSCS theme for slidev presentations
Markdown template for making a slide deck
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
A new simplified version of the GPU saturation scorer for CSCS workloads
Inference of Machine Learning weather forecasting models
Training library for Megatron-based models with bidirectional Hugging Face conversion capability
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)
DeepEP: an efficient expert-parallel communication library
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
A concise, beginner-friendly introduction to the core ideas of linear algebra.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
Build compute kernels and load them from the Hub.
Verification and viszualization suite for the SwissAI + Climate models
Tool for generating high quality Synthetic datasets
Singularity recipes for containers directly provided to LUMI user or used as part of the environment
CUDA Python: Performance meets Productivity
Build, test and deploy containers at CSCS