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Tensors and Dynamic neural networks in Python with strong GPU acceleration
The Web framework for perfectionists with deadlines.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A MNIST-like fashion product database. Benchmark 👇
NumPy aware dynamic Python compiler using LLVM
Declarative statistical visualization library for Python
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
Benchmarks of approximate nearest neighbor libraries in Python
The machine learning toolkit for time series analysis in Python
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Import C++ files directly from Python!
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
pepy is a site to get statistics information about any Python package.
Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji
Quadratic programming solvers in Python with a unified API
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.
Open source aggregation pipeline for public COVID-19 data, including hospitalization/ICU/ventilator numbers for many countries.
Vega-Lite Chart Dataset and NL Generation Framework using LLMs
🐉 Modular version of Draco visualization recommendation engine
Screen2Vec is a new self-supervised technique for generating more comprehensive semantic embeddings of GUI screens and components using their textual content, visual design and layout patterns, and…
[ICLR-2023] Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
A framework for benchmarking clustering algorithms
Synthetic data sets apt for Topological Data Analysis