Alternatives and similar repositories for nano-umap

Users that are interested in nano-umap are comparing it to the libraries listed below

• cgarciae / einop
  ☆60Updated 3 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated 2 months ago
• yobibyte / report
  Because we don't want a jupyter notebook mess...
  ☆61Updated 6 months ago
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆56Updated last month
• AnswerDotAI / fasttransform
  Transform is the main building block of data pipelines in fastai. And elsewhere if you want.
  ☆31Updated last month
• raphaelsty / LeNLP
  NLP with Rust for Python 🦀🐍
  ☆70Updated 7 months ago
• glassroom / heinsen_sequence
  Code implementing "Efficient Parallelization of a Ubiquitious Sequential Computation" (Heinsen, 2023)
  ☆98Updated last year
• AnswerDotAI / fastkmeans
  ☆90Updated 5 months ago
• TutteInstitute / fast_hdbscan
  A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces
  ☆126Updated last month
• joey00072 / microjax
  Jax like function transformation engine but micro, microjax
  ☆34Updated last year
• outergroup / vexpr
  Write your code as tree-like expressions, then transform it
  ☆21Updated last year
• ESHyperscale / nano-egg
  Evolution Pretraining Fully in Int Formats
  ☆135Updated 2 weeks ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆66Updated 2 weeks ago
• bremen79 / precise
  Portfolio REgret for Confidence SEquences
  ☆20Updated last year
• sytelus / pcprep
  Various handy scripts to quickly setup new Linux and Windows sandboxes, containers and WSL.
  ☆40Updated last week
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 3 years ago
• adalmia96 / umap-mnn
  ☆24Updated 4 years ago
• alexshtf / torchcurves
  Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs
  ☆47Updated this week
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆188Updated this week
• tom-pollak / claudette-pydantic
  ☆10Updated last year
• njwfish / DistributionEmbeddings
  ☆34Updated 2 months ago
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆18Updated last year
• FelixdenBreejen / TabForestPFN
  ☆50Updated last year
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆178Updated last month
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 2 weeks ago
• NVlabs / Forecasting-Model-Search
  A system for automating selection and optimization of pre-trained models from the TAO Model Zoo
  ☆30Updated last year
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated last year
• BlackHC / neural_net_checklist
  ☆212Updated last year
• probabilists / azula
  Diffusion models in PyTorch
  ☆120Updated last week