43 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Topic modeling neural toolkit | 68K | |
| FAIR Sequence Modeling Toolkit 2 | 23K | |
| PyTorch implementation of TabNet | 3K | |
| 2K | ||
| TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Mode... | 1K | |
| A python library for self-supervised learning | 1K | |
| Repository for CARTE: Context-Aware Representation of Table Entries | 1K | |
| Language models for Biological Sequence Transformation and Evolutionary Represen... | 1K | |
| This library provides tools and utilities for Few Shot Learning in Natural Langu... | 941 | |
| Emulate simulations easily | 938 | |
| Transcription Run-On Generates Detector Of Regulatory elements (TROGDOR). | 847 | |
| LPC ML is a machine learning workflow developed to optimize and analyze the impa... | 767 | |
| Modular, high-performance deep learning research framework | 699 | |
| OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023) | 526 | |
| Add your description here | 524 | |
| Modelling pipeline to develop and monitor Large Soil Spectral Models (LSSM) | 518 | |
| Based on a fork of the amazing mltrainer and mads_datasets by R. Grouls, tytorch... | 518 | |
| Simple Keras-inspired Training Loop for Pytorch. | 512 | |
| Neural Graphics Model Gym is a Python® toolkit for developing real-time Neural G... | 465 | |
| Wrapper on top of pytorch | 397 | |
| A deep learning toolbox for decoding animal behaviour | 391 | |
| GPT2 implementation for modelling of biological sequences at AA/NT resolution | 379 | |
| Repository for TARTE: Transformer Augmented Representation of Table Entries | 373 | |
| A personal collection of small utility functions for PyTorch and DL development. | 370 | |
| An attempt at a minimalist, flexible deep learning framework for diverse models. | 353 | |
| A small framework for training and evaluating models in notebooks with pytorch | 338 | |
| EBES: Easy Benchmarking for Event Sequences. | 338 | |
| Repository for the library and docs build when learning stable diffusion from fo... | 330 | |
| Synthetic benchmarks for evaluating Concept Bottleneck Models. | 314 | |
| PyTorch implementation of TabNet | 306 | |
| A Python library for Topological Signal Processing and Learning. | 286 | |
| Lightweight InTerface for Lossy compression | 282 | |
| A Unified Toolbox for Self-Supervised Learning Across Modalities | 224 | |
| TWIG-I: Embedding-free, treansfer-learning, enabled link prediction using graph ... | 213 | |
| A network block with built in spacial and scale decomposition. | 204 | |
| A toolkit for quantitative evaluation of data attribution methods. | 195 | |
| A comprehensive machine learning library with utilities for vision, text, and ta... | 192 | |
| A library to build our DMS signal and RNAstructure prediction models. | 155 | |
| SLIME - Statistical and Linguistic Insights for Model Explanation | 119 | |
| Single-cell explain etc etc | 115 | |
| Create live subplots in your notebook that update while training a PyTorch model | 94 | |
| FAIR Sequence Modeling Toolkit | 67 | |
| TWIG-TWM: KGE Simulation and hyperparameter optimisation from graph topology cha... | 47 |
