Eleven1Liu

Eleven1Liu's Stars

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.8k2312733.2k

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.5k6031.8k7.6k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.2k1171.7k1.1k

• star-history/star-history

  The missing star history graph of GitHub repos - https://star-history.com

  Language:TypeScript6.8k26105266

• DEAP/deap

  Distributed Evolutionary Algorithms in Python

  Language:Python5.9k1905201.1k

• pytorch/ignite

  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

  Language:Python4.6k601.4k622

• facebookresearch/nevergrad

  A Python toolbox for performing gradient-free optimization

  Language:Python4k58267356

• pytorch/botorch

  Bayesian optimization in PyTorch

  Language:Jupyter Notebook3.1k52544410

• facebook/Ax

  Adaptive Experimentation Platform

  Language:Python2.4k70751314

• agiresearch/OpenAGI

  OpenAGI: When LLM Meets Domain Experts

  Language:Python2k2917173

• WongKinYiu/yolor

  implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

  Language:Python2k32276514

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.9k30161469

• uber/petastorm

  Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

  Language:Python1.8k40308284

• microsoft/mup

  maximal update parametrization (µP)

  Language:Jupyter Notebook1.4k296294

• CMA-ES/pycma

  Python implementation of CMA-ES

  Language:Jupyter Notebook1.1k16258181

• automl/SMAC3

  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  Language:Python1.1k42565229

• acl-org/acl-style-files

  Official style files for papers submitted to venues of the Association for Computational Linguistics

  Language:TeX814827197

• SCLBD/DeepfakeBench

  A comprehensive benchmark of deepfake detection

  Language:Python6322313494

• CyberAgentAILab/cmaes

  Python library for CMA Evolution Strategy.

  Language:Python393143767

• vis-nlp/ChartQA

  Language:Python17261121

• automl/CAAFE

  Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

  Language:Python1389523

• bbopt/nomad

  NOMAD - A blackbox optimization software

  Language:C++12077623

• JoakimEdin/medical-coding-reproducibility

  Language:Jupyter Notebook7511524

• polixir/ZOOpt

  A python package of Zeroth-Order Optimization (ZOOpt)

  Language:Python6811211

• nabenabe0928/tpe

  The tree-structured Parzen estimator (TPE) implementation and the simple running code for it

  Language:Python62234

• tml-epfl/why-weight-decay

  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]

  Language:Python56212

• sigopt/evalset

  Benchmark suite of test functions suitable for evaluating black-box optimization strategies

  Language:Python4930110

• whaleloops/KEPT

  auto icd coding with prompt

  Language:Jupyter Notebook474918

• nilesh2797/zestxml

  This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning

  Language:C++22241

• JoakimEdin/explainable-medical-coding

  Language:Python10132