|
einops
|
public |
A new flavour of deep learning operations.
|
2025-03-25 |
|
gguf
|
public |
Read and write ML models in GGUF for GGML
|
2025-03-25 |
|
dbt-sqlserver
|
public |
A Microsoft SQL Server adapter plugin for dbt
|
2025-03-25 |
|
dbt-fabric
|
public |
A Microsoft Fabric Synapse Data Warehouse adapter plugin for dbt
|
2025-03-25 |
|
dbt-core
|
public |
With dbt, data analysts and engineers can build analytics the way engineers build applications.
|
2025-03-25 |
|
dbt-semantic-interfaces
|
public |
The shared semantic layer definitions that dbt-core and MetricFlow use
|
2025-03-25 |
|
snowplow-tracker
|
public |
Snowplow event tracker for Python. Add analytics to your Python and Django apps, webapps and games.
|
2025-03-25 |
|
dbt-adapters
|
public |
The set of adapter protocols and base functionality that supports integration with dbt-core
|
2025-03-25 |
|
dbt-common
|
public |
The shared common utilities that dbt-core and adapter implementations use
|
2025-03-25 |
|
daff
|
public |
align and compare tables
|
2025-03-25 |
|
flit-core
|
public |
Simplified packaging of Python modules
|
2025-03-25 |
|
mistral_common
|
public |
A set of tools to help you work with Mistral models.
|
2025-03-25 |
|
msgspec-yaml
|
public |
A fast serialization and validation library, with builtin support for JSON,
MessagePack, YAML, and TOML.
|
2025-03-25 |
|
msgspec-toml
|
public |
A fast serialization and validation library, with builtin support for JSON,
MessagePack, YAML, and TOML.
|
2025-03-25 |
|
msgspec
|
public |
A fast serialization and validation library, with builtin support for JSON,
MessagePack, YAML, and TOML.
|
2025-03-25 |
|
r-fixest
|
public |
Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://github.com/lrberge/fixest/blob/master/_DOCS/FENmlm_paper.pdf>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
|
2025-03-25 |
|
r-dreamerr
|
public |
Set of tools to facilitate package development and make R a more user-friendly place. Mostly for developers (or anyone who writes/shares functions). Provides a simple, powerful and flexible way to check the arguments passed to functions. The developer can easily describe the type of argument needed. If the user provides a wrong argument, then an informative error message is prompted with the requested type and the problem clearly stated--saving the user a lot of time in debugging.
|
2025-03-25 |
|
r-stringmagic
|
public |
Performs complex string operations compactly and efficiently. Supports string interpolation jointly with over 50 string operations. Also enhances regular string functions (like grep() and co). See an introduction at <https://lrberge.github.io/stringmagic/>.
|
2025-03-25 |
|
r-rdrobust
|
public |
Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
|
2025-03-25 |
|
nushell
|
public |
A library for reading, writing, and processing SEG-Y seismic data.
|
2025-03-25 |
|
segysak
|
public |
A library for reading, writing, and processing SEG-Y seismic data.
|
2025-03-25 |
|
addict
|
public |
Addict is a dictionary whose items can be set using both attribute and item syntax.
|
2025-03-25 |
|
r-honestdid
|
public |
Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.
|
2025-03-25 |
|
ortools
|
public |
Google's Operations Research tools
|
2025-03-25 |
|
litellm
|
public |
Library to easily interface with LLM API providers
|
2025-03-25 |
