Pinned Repositories
array-api-compat
Compatibility layer for NumPy to support the Array API
array-api-tests
Test suite for the PyData Array APIs standard
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
bandersnatch
A PyPI mirror client according to PEP 381 http://www.python.org/dev/peps/pep-0381/
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
platypi
PyPI Download Analysis.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn
scikit-learn: machine learning in Python
lithomas1's Repositories
lithomas1/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
lithomas1/array-api-compat
Compatibility layer for NumPy to support the Array API
lithomas1/array-api-tests
Test suite for the PyData Array APIs standard
lithomas1/cucim
cuCIM - RAPIDS GPU-accelerated image processing library
lithomas1/cudf
cuDF - GPU DataFrame Library
lithomas1/cugraph
cuGraph - RAPIDS Graph Analytics Library
lithomas1/cuml
cuML - RAPIDS Machine Learning Library
lithomas1/cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
lithomas1/cuvs
cuVS - a library for vector search and clustering on the GPU
lithomas1/cuxfilter
GPU accelerated cross filtering with cuDF.
lithomas1/dask
Parallel computing with task scheduling
lithomas1/dask-cuda
Utilities for Dask and CUDA interactions
lithomas1/devcontainers
lithomas1/hatchet
Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
lithomas1/kvikio
KvikIO - High Performance File IO
lithomas1/LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
lithomas1/numba
NumPy aware dynamic Python compiler using LLVM
lithomas1/numpy
The fundamental package for scientific computing with Python.
lithomas1/pipit
Analyze parallel execution traces using pandas dataframes
lithomas1/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
lithomas1/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
lithomas1/rapids-cmake
lithomas1/rapids-dask-dependency
lithomas1/rmm
RAPIDS Memory Manager
lithomas1/scikit-learn
scikit-learn: machine learning in Python
lithomas1/scipy
SciPy library main repository
lithomas1/segment-anything-fast
A batched offline inference oriented version of segment-anything
lithomas1/ucx-py
Python bindings for UCX
lithomas1/ucxx
lithomas1/wholegraph
WholeGraph - large scale Graph Neural Networks