geantrindade

geantrindade's Stars

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.8k2537.2k3.4k

• google/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++25.6k4914.9k5k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.8k263722.7k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.4k4473.3k7k

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9.1k2141811.8k

• pytorch/ignite

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

  Language:Python4.6k601.4k622

• osmr/imgclsmob

  Sandbox for training deep learning networks

  Language:Python3k7696561

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k566717

• mit-han-lab/once-for-all

  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

  Language:Python1.9k5375334

• black0017/MedicalZooPytorch

  A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

  Language:Python1.8k3425296

• kakaobrain/fast-autoaugment

  Official Implementation of 'Fast AutoAugment' in PyTorch.

  Language:Python1.6k4259194

• facebookresearch/FixRes

  This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

  Language:Python1k2335148

• rois-codh/kmnist

  Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

  Language:Python698222098

• google-research/realworldrl_suite

  Real-World RL Benchmark Suite

  Language:Python34914428

• eth-sri/eran

  ETH Robustness Analyzer for Deep Neural Networks

  Language:Python3232197102

• NVlabs/selfsupervised-denoising

  High-Quality Self-Supervised Deep Image Denoising - Official TensorFlow implementation of the NeurIPS 2019 paper

  Language:Python30722038

• xiaomi-automl/FairNAS

  FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

  Language:Python30316857

• renqianluo/NAO

  Neural Architecture Optimization

  Language:Python286142166

• bknyaz/graph_attention_pool

  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

  Language:Jupyter Notebook2839548

• hfawaz/cd-diagram

  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

  Language:Python2659875

• xiaomi-automl/FairDARTS

  Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

  Language:Python1738035

• human-analysis/neural-architecture-transfer

  Neural Architecture Transfer (Arxiv'20), PyTorch Implementation

  Language:Python154121021

• xiaomi-automl/SCARLET-NAS

  Bridging the gap Between Stability and Scalability in Neural Architecture Search

  Language:Python1417513

• automl/nas_benchmarks

  Language:Python938723

• ultmaster/neuralpredictor.pytorch

  Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".

  Language:Python39459

• xiaomi-automl/MixPath

  MixPath: A Unified Approach for One-shot Neural Architecture Search

  Language:Python28645

• xiaomi-automl/NoisyDARTS

  Noisy Differentiable Architecture Search

  Language:Python23740

• gabrieljaguiar/nemenyi

  Post-hoc Nemenyi test for algorithm statistical comparison.

  Language:Python21427

• gabrieljaguiar/image-meta-feature-extractor

  An image meta-feature extractor for meta-learning tasks.

  Language:Python12400

• ofsoundof/Heterogeneity_Hypothesis

  Language:Python11310