63 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Preprocessing of diffusion MRI | 3K | |
| General utilities to streamline data science and machine learning routines in py... | 3K | |
| Biomedical Term Annotator | 2K | |
| MultiGATE single cell | 2K | |
| A Thin Wrapper around Tensorflow Object Detection API for Easy Installation and ... | 1K | |
| A high level library on top of machine learning frameworks | 1K | |
| framework for build, train and test deep learning models | 1K | |
| Jigsaw-like AggMap: A Robust and Explainable Omics Deep Learning Tool | 892 | |
| 816 | ||
| Accelerating the development of question-answering systems based on BERT and TF ... | 750 | |
| Use machine learning to create art and music | 604 | |
| Lattice methods in TensorFlow | 566 | |
| NLP tool | 547 | |
| What-If Tool jupyter widget | 538 | |
| sequence-to-sequence translator for noisy channel error correction | 506 | |
| Common used code in Keras | 484 | |
| Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark | 442 | |
| Deep VOG for gaze estimation | 383 | |
| Robust P-wave first motion determination using deep learning (Han et al., 2025; ... | 380 | |
| Waymo Open Dataset libraries. | 348 | |
| A library that contains well defined, reusable and cleanly written graphics rela... | 315 | |
| 3D Neural Network for Lung Cancer Risk Prediction on CT Volumes | 314 | |
| Waymo Open Dataset libraries. | 297 | |
| Waymo Open Dataset libraries. | 297 | |
| Open source library for continuous-variable quantum computation | 288 | |
| character-level language modelling in Keras | 277 | |
| Mapping a variable-length sentence to a fixed-length vector using BERT model | 275 | |
| A helping package for ML written by Sankalp | 266 | |
| Waymo Open Dataset libraries. | 263 | |
| Tensorflow implementation of Deep SVDD | 262 | |
| A simple CNN for n-class classification of document images. | 254 | |
| Reinforcement learning framework built in modern Python for experimentation, eas... | 244 | |
| scScope is a deep-learning based approach for single cell RNA-seq analysis. | 224 | |
| BERT+ TF Keras For Chinese NLP Tasks | 217 | |
| A pypi release of the MDAT | 212 | |
| nlp kit. | 205 | |
| 204 | ||
| A Protein Binding Pocket Prediction Methods. | 201 | |
| A TensorFlow 2 package for cell detection | 199 | |
| A simple tool for using artificial intelligence in chemistry | 186 | |
| Robust P-wave first motion determination using deep learning (Han et al., 2025; ... | 176 | |
| Waymo Open Dataset libraries. | 155 | |
| Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL... | 152 | |
| A package for classifying vegetation from lidar point clouds | 147 | |
| Keras Extended Dense Layer | 139 | |
| {'An implementation for Img2Vec.'} | 126 | |
| HDLTex: Hierarchical Deep Learning for Text Classification | 119 | |
| A helping package for ML written by Sankalp | 114 | |
| A high-performance framework for training wide-and-deep recommender systems on h... | 108 | |
| 105 |
