geantrindade

geantrindade's Stars

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

  Language:HTML116k1.4k015.8k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.7k291432.3k

• othneildrew/Best-README-Template

  An awesome README template to jumpstart your projects!

  14.5k744023.1k

• karpathy/nn-zero-to-hero

  Neural Networks: Zero to Hero

  Language:Jupyter Notebook12.6k297341.7k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k146453737

• MIC-DKFZ/nnUNet

  Language:Python6.1k762.2k1.8k

• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.8k55641.1k

• MrGemy95/Tensorflow-Project-Template

  A best practice for tensorflow project template architecture.

  Language:Python3.6k15220815

• huggingface/knockknock

  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

  Language:Python2.8k6442236

• facebookresearch/pycls

  Codebase for Image Classification Research, written in PyTorch.

  Language:Python2.1k6081239

• dbader/readme-template

  README.md template for your open-source project

  1.9k3494.2k

• csinva/imodels

  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  Language:Jupyter Notebook1.4k2494125

• Lightning-AI/deep-learning-project-template

  Pytorch Lightning code guideline for conferences

  Language:Python1.2k1916272

• khuyentran1401/data-science-template

  Template for a data science project

  Language:Python69896197

• tianbaochou/NasUnet

  Language:Python172103446

• PatrykChrabaszcz/Imagenet32_Scripts

  Scripts for Imagenet 32 dataset

  Language:Python1506947

• nihalsid/ViewAL

  [CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

  Language:Python1429528

• NiuTrans/NASPapers

  Paper lists of neural architecture search (NAS)

  1274323

• facebookresearch/nds

  On Network Design Spaces for Visual Recognition

  Language:Jupyter Notebook941109

• Jingjing-NLP/KNAS

  Codes for paper "KNAS: Green Neural Architecture Search"

  Language:Python912115

• orico/ActiveLearningFrameworkTutorial

  An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

  Language:Jupyter Notebook545023

• Bonidia/MathFeature

  Feature Extraction Package for Biological Sequences

  Language:Python501416

• Bonidia/BioAutoML

  BioAutoML: Automated Feature Engineering and Metalearning

  Language:Jupyter Notebook36445

• JaminFong/darts-multi_gpu

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python31265

• sbelharbi/deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator

  Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

  Language:Python29228

• woodywff/nas_3d_unet

  Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging

  Language:Python21226

• Ziyan-Huang/AdwU-Net

  [MIDL22] Adaptive depth and width U-Net. Search task-specific optimal depth and width of U-Net by DNAS method.

  Language:Python17150

• ealcobaca/meta-padawan

  Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.

  Language:Python9100

• chenwydj/DARTS_evaluation

  Train from scratch for architectures from DARTS space

  Language:Python5310

• CerqueiraMatheus/CIFAR-10-Images

  CIFAR-10 raw images

  Language:Jupyter Notebook2100