zaeneas

zaeneas's Stars

• pnnl/neuromancer

  Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

  Language:Python913120

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Language:Python1.4k127

• google/graph-mining

  Language:C++57119

• lmcinnes/pynndescent

  A Python nearest neighbor descent for approximate nearest neighbors

  Language:Python883105

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++13.2k1.2k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++31.2k3.6k

• ofirpress/attention_with_linear_biases

  Code for the ALiBi method for transformer language models (ICLR 2022)

  Language:Python50439

• imartinezl/difw

  Expressive diffeomorphic transformations based on the closed-form integration of continuous piecewise affine velocity functions.

  Language:Python152

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python3.1k352

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16k1.9k

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.7k318

• darglein/ADOP

  Language:C++2k199

• BorealisAI/continuous-time-flow-process

  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

  Language:Python464

• tamu-engineering-research/Open-source-power-dataset

  We present PSML, a first-of-its-kind open-access multi-scale time-series dataset, to aid in the development of data-driven machine learning (ML) based approaches towards reliable operation of future electric grids.

  Language:Python5517

• williamgilpin/dysts

  More than a hundred strange attractors

  Language:Jupyter Notebook41465

• williamgilpin/fnn

  Embed strange attractors using a regularizer for autoencoders

  Language:Jupyter Notebook13131

• edebrouwer/latentCCM

  Implementation of the Latent CCM paper

  Language:Python141

• OverLordGoldDragon/ssqueezepy

  Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

  Language:Python64396

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.4k807

• giotto-ai/giotto-tda

  A high-performance topological machine learning toolbox in Python

  Language:Python853174

• enajx/HebbianMetaLearning

  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

  Language:Python13022

• man-group/arctic

  High performance datastore for time series and tick data

  Language:Python3.1k584

• patrick-kidger/torchcde

  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

  Language:Python41943

• kymatio/kymatio

  Wavelet scattering transforms in Python with GPU acceleration

  Language:Python759138

• mortada/fredapi

  Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

  Language:Python923160