tango4j / tensorflow-vs-pytorch
Guide for both TensorFlow and PyTorch in comparative way
☆108Updated 5 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
- Multi GPU Training Code for Deep Learning with PyTorch☆204Updated 4 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated 9 months ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆81Updated 9 months ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆92Updated 2 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated last year
- Two-Layer Hierarchical Softmax Implementation for PyTorch☆69Updated 4 years ago
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆46Updated 5 years ago
- ☆47Updated 4 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆119Updated 3 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated last year
- Corrupted labels and label smoothing☆128Updated 7 years ago
- Script to remotely check GPU servers for free GPUs☆114Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆65Updated 4 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- Awesome Contrastive Learning for CV & NLP☆162Updated 3 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆85Updated 2 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 4 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆219Updated 2 years ago
- Cyclic learning rate TensorFlow implementation.☆66Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆164Updated 3 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆64Updated 2 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- A TensorFlow re-implementation of Momentum Contrast (MoCo): https://arxiv.org/abs/1911.05722☆161Updated last year
- Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)☆19Updated 4 years ago