CannyLab / tsne-cudaLinks
GPU Accelerated t-SNE for CUDA with Python bindings
☆1,877Updated 10 months ago
Alternatives and similar repositories for tsne-cuda
Users that are interested in tsne-cuda are comparing it to the libraries listed below
Sorting:
- Extensible, parallel implementations of t-SNE☆1,554Updated 2 weeks ago
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,911Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,987Updated last year
- Deep Clustering for Unsupervised Learning of Visual Features☆1,726Updated 3 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,621Updated 3 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,834Updated last year
- A simple way to calibrate your neural network.☆1,158Updated last month
- torch-optimizer -- collection of optimizers for Pytorch☆3,135Updated last year
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,841Updated last year
- A lightweight library for PyTorch training tools and utilities☆1,706Updated this week
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,312Updated last month
- Train AI models efficiently on medical images using any framework☆1,872Updated last year
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,057Updated 2 years ago
- A small package to create visualizations of PyTorch execution graphs☆3,410Updated 7 months ago
- Code for visualizing the loss landscape of neural nets☆3,054Updated 3 years ago
- ☆1,143Updated 2 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,404Updated 4 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,326Updated 4 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,344Updated 2 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,286Updated last year
- Profiling and inspecting memory in pytorch☆1,064Updated last year
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆810Updated 6 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,042Updated 2 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,051Updated last year
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,505Updated 2 weeks ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,428Updated last year
- A state-of-the-art semi-supervised method for image recognition☆1,635Updated 4 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆990Updated 10 months ago
- PyTorch implementation of Barlow Twins.☆989Updated 3 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,554Updated 4 years ago