gchq / annchorLinks
Fast k-NN graph construction for slow metrics
☆63Updated 3 months ago
Alternatives and similar repositories for annchor
Users that are interested in annchor are comparing it to the libraries listed below
Sorting:
- arxiv_miner is a toolkit for mining research papers on CS ArXiv.☆139Updated last year
- A library for coreset algorithms, written in JAX for fast execution and GPU support.☆36Updated this week
- Numpy implementation of Hilbert curves in arbitrary dimensions☆185Updated 5 years ago
- Easily download, verify, and extract archives☆46Updated 3 years ago
- Vectorizers for a range of different data types☆103Updated 2 months ago
- Write your code as tree-like expressions, then transform it☆21Updated last year
- Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.☆113Updated 6 months ago
- ☆16Updated 2 years ago
- Implementation of A New Burrows Wheeler Transform Markov Distance☆12Updated 5 years ago
- Fast singularity detection with kernel☆37Updated last year
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- NumPy ufuncs and utilities.☆55Updated 2 weeks ago
- Process hexagonally sampled data with PyTorch☆96Updated 4 years ago
- Deep learning made topological.☆91Updated last year
- Better bindings for Python☆19Updated 2 years ago
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆64Updated last year
- Examples of more involved applications using Geomstats☆33Updated 4 years ago
- A temporary repository hosting a pomegranate re-write using PyTorch as the backend.☆73Updated 2 years ago
- ☆44Updated 2 years ago
- Multi-target API for graph analytics with Dask☆29Updated last year
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap☆29Updated 3 years ago
- A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces☆126Updated last month
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- Large-scale, multi-GPU capable, kernel solver☆192Updated 5 months ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Adversarial Generation of Extreme Samples☆78Updated last year
- Custom filtration constructors for Python☆22Updated 8 months ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 3 years ago