Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- vica — find highly divergent DNA and RNA viruses in microbiomes
- video-facenet — Face detection/embeding/clustering for video using TensorFlow
- video-reuse-detector — The video reuse detector
- VideoChatBot — VideoChat with a bot
- vidtag — no summary
- vidtrain — Deep learning annotation training and prediction workflow for microscopy video data
- vietokenizer — Vietnamese Tokenizer package based on deep learning method
- vina2vi — no summary
- VIPCCA — single cell integration
- viraliq — Search for videos using an image query.
- visdetect — Visual error analysis for detection tasks
- visual-attention-tf — CNN Attention layer to be used with tf or tf.keras
- visualdata — library to manage image data
- vit-b16-keras — vit-b16-keras
- vit-l32-keras — vit-l32-keras
- vitamin-b — A user-friendly machine learning Bayesian inference library
- vitb16 — vitb16
- vitis-quantizer — A standalone package to do the vitis quantization step.
- vk-facenet — facenet
- vlmvqa-python — VLmVQA tool
- VoiceprintRecognition — A speaker recognition library that works both online and offline and supports a number of engines and APIs.
- vollseg-napari — Irregular cell shape segmentation using VollSeg
- vpt-plugin-watershed — Watershed Plugin for VPT
- vqa-python — mVQA tool
- vsdkx-core — no summary
- vsensebox — VSenseBox - Python toolbox for visual sensing.
- VSGenerator — Dynamic Virtual Space generation neural Network.
- vtmm — Vectorized transfer matrix method (TMM) for computing the optical reflection and transmission of multilayer planar stacks
- vyvodi — custom tensorflow tools
- waseda-tfx — TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google.
- water-drop-detection — A neural network that detects water drops on the surface from an image.
- WaterMap — Water Mapping from Remote Sensing Images
- watsor — Object detection for video surveillance
- waveglow — Waveglow library
- wavenet — An implementation of WaveNet for TensorFlow.
- wavyts — Wavy is a library to facilitate time series analysis
- waylay-beta — beta release of the Waylay Python SDK
- waymo-open-dataset — Waymo Open Dataset libraries.
- waymo-open-dataset-2-0-0 — Waymo Open Dataset libraries.
- waymo-open-dataset-tf-2-4-0 — Waymo Open Dataset libraries.
- waymo-open-dataset-tf-2-5-0 — Waymo Open Dataset libraries.
- waymo-open-dataset-tf-2-6-0 — Waymo Open Dataset libraries.
- wearpipe — Python package that enables fast wearable data pipeline executation from data preprocessing to model application
- wechatter — Open source deep learning framework to automate text- and voice-based conversations
- wellcomeml — Utilities for managing nlp models and for processing text-related data at Wellcome Data Labs
- wf-smcmodel — Provide estimation and simulation capabilities for sequential Monte Carlo (SMC) models
- wf-smcmodel-localize — Define a sequential Monte Carlo (SMC) model to estimate positions of objects from sensor data
- whatlies — Tools to help uncover `whatlies` in word embeddings.
- whitebox-adversarial-toolbox — WHite-box Adversarial Toolbox (WHAT) - Python Library for Deep Learning Security
- whiteboxlayer — TensorFlow based custom layers
- whru — My custom Python module
- WHU-ScoreChecker — A simple, open-source and model-driven score checker for WHU.
- wikirec — Recommendation engine framework based on Wikipedia data
- wildbook-ia — Wildbook IA (WBIA) - Machine learning service for the WildBook project
- wirepod-vector-sdk — The Vector SDK is a connected vision- and character-based robotics platform for everyone.
- witwidget — What-If Tool notebook widget
- wizata-dsapi — Wizata Data Science Toolkit
- WordEmbed — Train and use word embeddings specific to your data
- worin — A Korean POS Tagger using Neural Network
- wow-ocr — A packaged OCR model to read texts into WoW screenshots
- wrangle — Wrangle - Data Preparation for Deep Learning
- wtrwrks — A system for creating reversible data transformations
- wtte — Weibull Time To Event model. A Deep Learning model for churn- and failure prediction and everything else.
- wyzely-detect — Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices
- Xanthus — Neural Collaborative Filtering in Python
- xbatcher — Batch generation from Xarray objects
- xDNN-classifier — eXplainable Deep Neural Network (xDNN)
- xedro — Kedro helps you build production-ready data and analytics pipelines
- xformer — A practical implementation of the Transformer neural network architecture.
- xiRT — xiRT: Multi-dimensional Retention Time Prediction for Linear and Crosslinked Peptides.
- xlnet-tensorflow — XLNet fork of https://github.com/zihangdai/xlnet with package configuration
- xneuralintents — Simple interface for working with intents and chatbots.
- xplainet — Explainable Neural network in Keras
- Xplique — Explanations toolbox for Tensorflow 2
- xraydawgz — XRayDawgz XRD image pattern classifier
- xRBM — Tensorflow implementations of the Restricted Boltzmann Machine family of models
- xswem — A simple and explainable deep learning model for NLP.
- xtal-cartographer — Cartographer: A Deep-Learning Network for Interpreting Nucleic Acid Electron Density
- xtml — A machine learning trainer across various ML frameworks.
- xyolo — xyolo is a highly encapsulated YOLO v3 library implemented in Python.With xyolo, you can easily complete the training and calling of the yolo3 target detection task with just a few lines of Python code.
- yaaf — YAAF: Yet Another Agents Framework
- yaket — YAML Keras Trainer for quick AI development
- yangke — 个人工具综合平台,包含常用工具,网络爬虫,知识图谱,神经网络预测等工具
- yarll — Yet Another Reinforcement Learning Library
- yasmll — YASMLL: Yet Another Scientific Machine Learning Library
- ydata-synthetic — Synthetic data generation methods with different synthetization methods.
- yDataPrep — prepare your dataset for finetuning LLMs
- YeaZ — Deep-learning based yeast cell segmentation
- yfml — based on tensorflow
- yifeif_tensorflow_graphics — A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow.
- yInference — Inference your Fine tuned LLM
- yogadl — Yoga Data Layer, a flexible data layer for machine learning
- yolo-v5-tflite — YOLO_v5 - most advanced vision AI model for object detection in TFLite.
- yolotest — Ultralytics YOLOv8
- YoloV2Keras — Yolo v2 library
- yolov3 — Keras(TF backend) implementation of yolo v3 objects detection.
- yolov3-minimal — no summary
- yolov8-pose-triton — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
- yonlu — A deep learning based natural language understanding module
- youdied — Captures screen and detect "you died"