tango4j / tensorflow-vs-pytorchLinks
Guide for both TensorFlow and PyTorch in comparative way
☆108Updated 6 years ago
Alternatives and similar repositories for tensorflow-vs-pytorch
Users that are interested in tensorflow-vs-pytorch are comparing it to the libraries listed below
Sorting:
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆95Updated 3 years ago
- Multi GPU Training Code for Deep Learning with PyTorch☆210Updated 9 months ago
- Awesome Contrastive Learning for CV & NLP☆165Updated 4 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆153Updated 2 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 6 years ago
- ☆96Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- A large scale study of Knowledge Distillation.☆219Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 7 years ago
- Meta learning framework with Tensorflow 2.0☆117Updated 3 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆285Updated 2 years ago
- All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.☆234Updated 5 years ago
- Two-Layer Hierarchical Softmax Implementation for PyTorch☆70Updated 4 years ago
- ☆46Updated 6 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.☆133Updated 5 years ago
- ☆124Updated 3 years ago
- Experiments on different dataset on how to grow networks during training to learn new image categories.☆62Updated 5 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆169Updated 4 years ago
- Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)☆196Updated 3 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆223Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 6 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆87Updated 3 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support☆94Updated 7 years ago