JoaoLages

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

ydata-quality

Data Quality assessment with one line of code

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

RATransformers

RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!

Weighted-Boxes-Fusion

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

mup

maximal update parametrization (µP)

Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

promptsource

Toolkit for creating, sharing and using natural language prompts.

awesome-data-centric-ai

Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

staticrab

evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Truncated-Loss

PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018

Styleformer

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

Gramformer

A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

NL-Augmenter

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

rliable

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

mauve

Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.

koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

BARTScore

BARTScore: Evaluating Generated Text as Text Generation

transformer-deploy

Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

ecco

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

umap

Uniform Manifold Approximation and Projection

gpt-code-clippy

Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

dtreeviz

A python library for decision tree visualization and model interpretation.