dataframing's Stars
rust-lang/rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
rwf2/Rocket
A web framework for Rust.
umami-software/umami
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
pydantic/pydantic
Data validation using Python type hints
squidfunk/mkdocs-material
Documentation that simply works
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
pytorch/serve
Serve, optimize and scale PyTorch models in production
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
EbTech/rust-algorithms
Common data structures and algorithms in Rust
mhagiwara/100-nlp-papers
100 Must-Read NLP Papers
microsoft/AI-System
System for AI Education Resource.
facebookresearch/fairscale
PyTorch extensions for high performance and large scale training.
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
ballista-compute/ballista
Distributed compute platform implemented in Rust, and powered by Apache Arrow.
nnethercote/perf-book
The Rust Performance Book
minimaxir/aitextgen
A robust Python tool for text-based AI training and generation using GPT-2.
Lightning-Universe/lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
jrzaurin/pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
darrenburns/ward
Ward is a modern test framework for Python with a focus on productivity and readability.
mihail911/nlp-library
curated collection of papers for the nlp practitioner 📖👩🔬
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
carlosperate/awesome-pyproject
An Awesome List of projects using the pyproject.toml Python configuration file.
perone/euclidesdb
A multi-model machine learning feature embedding database
eugeneyan/testing-ml
🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
ServiceNow/embedding-propagation
Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started at Element AI.
torrvision/focal_calibration
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"