VadymV

VadymV's Stars

• ashvardanian/SimSIMD

  Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 📐

  Language:C91351

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook7.8k5.8k

• VadymV/OffensEval

  Language:Python41

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.2k1.2k

• lightly-ai/lightly

  A python library for self-supervised learning on images.

  Language:Python3k256

• aramis-lab/clinica

  Software platform for clinical neuroimaging studies

  Language:Python22074

• virelay/virelay

  ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.

  Language:Python265

• chr5tphr/zennit

  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

  Language:Python19332

• martindyrba/DeepLearningInteractiveVis

  Interactive visualization of 3D CNN relevance maps

  Language:Jupyter Notebook175

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.5k984

• GMvandeVen/brain-inspired-replay

  A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

  Language:Python22664

• GMvandeVen/continual-learning

  PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

  Language:Jupyter Notebook1.6k310

• mariacer/cl_in_rnns

  Continual Learning in Recurrent Neural Networks

  Language:Python386

• GoogleCloudPlatform/cloud-for-marketing

  Language:JavaScript18475