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A C++ Template library, developed by Andrei Alexandrescu, the author of the book Modern C++ Design.
Fast and memory-efficient exact attention
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
All you need for End-to-end Autonomous Driving
[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
PyTorch emulation library for Microscaling (MX)-compatible data formats
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Basic Kalman filter implementation in C++ using Eigen
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
Provide Python access to the NVML library for GPU diagnostics
Deprecated Catapult GitHub. Please instead use http:https://crbug.com "Speed>Benchmarks" component for bugs and https://chromium.googlesource.com/catapult for downloading and editing source code..
Large Scale Non maximum Suppression. This project implements a O(nlog(n)) approach for non max suppression, useful for object detection ran on very large images such as satellite or histology, when…
A CUDA tutorial to make people learn CUDA program from 0
Repository for suggesting new lineages that should be added to the current scheme
[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training
Nameof operator for modern C++, simply obtain the name of a variable, type, function, macro, and enum
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Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models