Statistics for topic optimization

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Mesh optimization library that makes meshes smaller and faster to render

A Python implementation of global optimization with gaussian processes.

Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)

Differentiable solver for time-dependent deformation problems with contact

TROPIC: TRajectory OPtimization In CasADi

The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices" (IEEE Transactions on Wireless Communications 2019)

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Mesh optimization library that makes meshes smaller and faster to render

A Python implementation of global optimization with gaussian processes.

A collection of inverse design challenges

Differentiable solver for time-dependent deformation problems with contact

Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)

TROPIC: TRajectory OPtimization In CasADi

The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices" (IEEE Transactions on Wireless Communications 2019)

An awesome list of e-graph resources

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Optimizing inference proxy for LLMs

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Google's Operations Research tools:

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Embed trained machine learning predictors in JuMP

Generalized Splines for Motion Optimization in C++ and python3

Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)

A distributed whole-body model predictive control for quadruped robots

Optimizing inference proxy for LLMs

Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)

A modern supercompiler for call-by-value functional languages

Deobfuscation via optimization with usage of LLVM IR and parsing assembly.

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Optimize React performance and make your React 70% faster in minutes, not months.

Google's Operations Research tools:

Optimizing inference proxy for LLMs

Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

Efficient modeling interface for mathematical optimization in Python

Performance Observability for Apache Spark

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Modern C++ Programming Course (C++03/11/14/17/20/23/26)