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A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Hackable and optimized Transformers building blocks, supporting a composable construction.
Multilingual Sentence & Image Embeddings with BERT
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
Fast Static Symbol Table (FSST): efficient random-access string compression
DuckDB is an analytical in-process SQL database management system
Compilation of high-profile real-world examples of failed machine learning projects
A unified framework for machine learning with time series
An orchestration platform for the development, production, and observation of data assets.
An implementation of chunked, compressed, N-dimensional arrays for Python.
Time series forecasting with PyTorch
pathlib api extended to use fsspec backends
Experimental one-shot benchmarking/profiling harness for Rust
Anki's shared backend and web components, and the Qt frontend
A Python-embedded modeling language for convex optimization problems.
Selects tests affected by changed files. Executes the right tests first. Continuous test runner when used with pytest-watch.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Hardware accelerated, batchable and differentiable optimizers in JAX.
This is a pytest plugin, that enables you to test your code that relies on a running PostgreSQL Database. It allows you to specify fixtures for PostgreSQL process and client.