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Benchmarking Cost, Accuracy and Performance for MoE systems
Fish-like autosuggestions for zsh
Using xarray to train deep learning models and use them for inference.
This repository describes the process for accessing Destination Earth DT data via the Polytope web service hosted on the LUMI Databridge.
[ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization"
Collaborative Datacenter Simulation and Exploration for Everybody
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …
RDMA and SHARP plugins for nccl library
AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.
Supercomputer-Driven Vector Database for Private LLM Retrieval
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Testing adaptation of the DINOv2/3 encoders for vision tasks with Low-Rank Adaptation (LoRA)
PyTorch code and models for the DINOv2 self-supervised learning method.
Multi functional app to find duplicates, empty folders, similar images etc.
Perform data science on data that remains in someone else's server
Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
Tutorial on Accelerating Generative AI with PyTorch at ISC 2024
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals



