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Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
llama3 implementation one matrix multiplication at a time
Minimalistic large language model 3D-parallelism training
Must-read Papers on Physics-Informed Neural Networks.
Neural Additive Models (Google Research)
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
A scikit-learn compatible neural network library that wraps PyTorch
A living benchmark framework for symbolic regression
Python library to compress LitGPT models for resource efficient inference.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Awesome-LLM: a curated list of Large Language Model
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA II…
Bayesian Neural Network Surrogates for Bayesian Optimization
Our maintained PFN repository. Come here to train SOTA PFNs.
A collection of multi-fidelity benchmarks with first class support for user priors
A latent text-to-image diffusion model
Repo for the Configurable Optimizer project, which aims at searching in the space of one-shot optimizers
The simplest, fastest repository for training/finetuning medium-sized GPTs.
This repository contains implementations and illustrative code to accompany DeepMind publications
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.