Alternatives and similar repositories for conference_call_for_paper:

Users that are interested in conference_call_for_paper are comparing it to the libraries listed below

• demuxin / pytorch_tricks
  some tircks for PyTorch
  ☆578Updated 5 years ago
• shaohua0116 / ICLR2020-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆457Updated 5 years ago
• Separius / awesome-fast-attention
  list of efficient attention modules
  ☆995Updated 3 years ago
• shaohua0116 / ICLR2019-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆387Updated 5 years ago
• zasdfgbnm / TorchSnooper
  Debug PyTorch code using PySnooper
  ☆800Updated 3 years ago
• lartpang / PyTorchTricks
  Some tricks of pytorch...
  ☆1,178Updated 8 months ago
• Lyken17 / Efficient-PyTorch
  My best practice of training large dataset using PyTorch.
  ☆1,092Updated 9 months ago
• hoya012 / CVPR-2019-Paper-Statistics
  Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
  ☆533Updated 5 years ago
• BIGBALLON / CIFAR-ZOO
  PyTorch implementation of CNNs for CIFAR benchmark
  ☆705Updated 4 years ago
• clcarwin / focal_loss_pytorch
  A PyTorch Implementation of Focal Loss.
  ☆972Updated 5 years ago
• JudyYe / zero-shot-gcn
  Zero-Shot Learning with GCN (CVPR 2018)
  ☆918Updated 5 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆445Updated 2 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆553Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆911Updated 7 years ago
• floodsung / Meta-Learning-Papers
  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
  ☆2,623Updated 6 years ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,619Updated last year
• yikangshen / Ordered-Neurons
  Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
  ☆577Updated 5 years ago
• lightaime / deep_gcns
  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
  ☆631Updated 5 years ago
• subeeshvasu / Awesome-Learning-with-Label-Noise
  A curated list of resources for Learning with Noisy Labels
  ☆2,655Updated 9 months ago
• haitongli / knowledge-distillation-pytorch
  A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
  ☆1,907Updated last year
• StanfordVL / taskonomy
  Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]
  ☆856Updated 2 years ago
• Lyken17 / pytorch-memonger
  Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
  ☆594Updated 5 years ago
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,958Updated last year
• hongyi-zhang / mixup
  Implementation of the mixup training method
  ☆465Updated 6 years ago
• google-research / mixmatch
  ☆1,137Updated last year
• artix41 / awesome-transfer-learning
  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
  ☆1,736Updated last year
• yaringal / multi-task-learning-example
  A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
  ☆852Updated 4 years ago
• moemen95 / Pytorch-Project-Template
  A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
  ☆886Updated last year
• FLHonker / Awesome-Knowledge-Distillation
  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
  ☆2,545Updated last year
• paperswithcode / ai-deadlines
  AI conference deadline countdowns
  ☆5,756Updated 5 months ago