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An extremely fast Python package and project manager, written in Rust.
Rich is a Python library for rich text and beautiful formatting in the terminal.
An agentic skills framework & software development methodology that works.
An extremely fast Python linter and code formatter, written in Rust.
Extremely fast Query Engine for DataFrames, written in Rust
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
If you live in the terminal, kitty is made for you! Cross-platform, fast, feature-rich, GPU based.
A collection of various deep learning architectures, models, and tips
Statsmodels: statistical modeling and econometrics in Python
Cross-platform lib for process and system monitoring in Python
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Combination of multiple linters to run as a GitHub Action or standalone
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Deep universal probabilistic programming with Python and PyTorch
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
this repository accompanies the book "Grokking Deep Learning"
A debugging and profiling tool that can trace and visualize python code execution
A Python-embedded modeling language for convex optimization problems.
Probabilistic reasoning and statistical analysis in TensorFlow
A machine learning compiler for GPUs, CPUs, and ML accelerators
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
A highly efficient implementation of Gaussian Processes in PyTorch
Fast, flexible and easy to use probabilistic modelling in Python.
Unbearably fast near-real-time pure-Python runtime-static type-checker.