Stars
Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.
📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
prompt2model - Generate Deployable Models from Natural Language Instructions
Neural models for detecting and masking personal information from texts
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)
Robust Speech Recognition via Large-Scale Weak Supervision
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.
Framework and Language for Neurosymbolic Programming.
A Simple , ☁️ Lightweight , 💪 Efficent JSON based database for 🐍 Python. PysonDB-V2 has been released ⬇️
A library to conduct ranking experiments with transformers.
State-of-the-Art Text Embeddings
Code for bidirectional sequence generation (BiSon) for generating from BERT pre-trained models.
Annotated corpus + evaluation metrics for text anonymisation
Latex code for making neural networks diagrams
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, B…
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Explore and create a map of Pepper environment by searching for ArUco marker landmarks disseminated in the area on the floor
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
Distributed Temporal Graph Analytics with Apache Flink
The entmax mapping and its loss, a family of sparse softmax alternatives.
📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
skweak: A software toolkit for weak supervision applied to NLP tasks