Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- transferflow — Transfer learning for Tensorflow
- transformer-as-service — Use your pretrained models as service
- transformer-korean — Text-to-Text Transformer for Korean QA Task
- transformer-pack — Package of extra scikit-learn transformers
- transformers — State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
- transformers-keras-dataloader — Transformers Keras Dataloader provides an EmbeddingDataLoader class, a subclass of keras.utils.Sequence which enables real-time embedding generation from pretrained transformer models while feeding it to your Keras model via batches.
- transformerx — TransformerX is a python library for building transformer-based models using ready-to-use layers.
- transunet — Tensorflow Extra Utilities. https://github.com/awsaf49/TransUNet-tf
- TRAPT — A novel deep learning framework for transcription regulators prediction via integraing large-scale epigenomic data.
- trax — Trax
- trax_act_controller — An ACT (Adaptive Computation Time) controller with extensive error handling for trax.
- trelawney — Generic Interpretability package
- trfl — trfl is a library of building blocks for reinforcement learning algorithms.
- trieste — A Bayesian optimization research toolbox built on TensorFlow
- triko — Simplifies a process of encoding/decoding data using TFRecord framework.
- TriModelSystem — Tri-Model Ensemble System for Classification
- triplet-tools — A toolbox for creating and training triplet networks in tensorflow
- triton-model-navigator — Triton Model Navigator: An inference toolkit for optimizing and deploying machine learning models and pipelines on the Triton Inference Server and PyTriton.
- troj — TrojAI provides the troj Python convenience package to allow users to integrate TrojAI adversarial protections and robustness metrics seamlessly into their AI development pipelines.
- trojai-rl — TrojAI RL model generation library
- tropic — no summary
- truesight — Truesight is a python package for time series prediction using deep learning and statistical models.
- trustce — no summary
- trustML — Trust for Machine Learning
- trvae — Condition out-of-sample prediction
- ts-rnn — Package to forecast time series with recurrent neural network
- tsaugmentation — Robust time series tsaugmentation for forecasting algorithms
- tsbase — Time series preprocessing for keras
- TSFEDL — Time Series Spatio-Temporal Feature Extraction using Deep Learning
- tsforecast — ML based forecasting
- TSInterpret — todo
- tsipy — Python package for processing TSI signals.
- tsnn — Time Series Neural Networks (Keras wrapper)
- tsod — Time series anomaly detection.
- tune — An abstraction layer for hyper parameter tuning
- tuttusa-datasets — Tuttusa Datasets
- TwentyTwentiesHumorBot — TwentyTwentiesHumorBot is a bot which takes images, makes them stupid with the power of AI, and then posts them to twitter.
- twitter-nlp-toolkit — Tools for collecting , processing and analyzing twitter data
- twittersentiment — A python package for sentiment analysis written using pytorch framework
- twodlearn — Easy development of machine learning models
- twomartens.masterthesis — Code of the master thesis
- twopic — no summary
- tydataprep — prepare your dataset for finetuning LLMs
- ubatch — Micro batch solution for improve throughput in SIMD processes
- uberlimb — Generative art with CPPN networks.
- uc-model-creator — An tool for model creation
- ucbshift — UCBShift is a tool for predicting and visualizing chemical shifts of molecules.
- uclmr-jack — Jack the Reader is a Python framework for Machine Reading
- ucnn — Universal CNN Training & Predicting For Fixed-Length Label Captcha.
- ultralytics — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
- ultralytics-nogui — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
- ultrayolo — tensorflow 2 implemetation of yolo 3 with backbone extensions
- umap-learn — Uniform Manifold Approximation and Projection
- uncertainty-metrics — Uncertainty Metrics
- uncwrap — Sklearn wrapper for classifications system that computes the prediction uncertainty
- UNET-MDLE-CASE — Package that helps to load data for, build, train, test, and visualize the results of UNET CNN
- unetseg — U-Net semantic segmentation for satellite imagery
- unitvelo — Temporally unified RNA velocity inference
- unityagents — Unity Machine Learning Agents
- unlockNN — Uncertainty quantification for neural network models of chemical systems.
- unpaved-road-condition-analysis — A Python package for analyzing the condition of unpaved roads using machine learning and image processing
- unquad — Uncertainty quantified anomaly detection for 'PyOD'-detectors based on conformal inference.
- unscribe — A straightforward text remover and/or scrambler using LaMa inpainting and CRAFT text-detection
- Upender-recognizer — Converting handwritten (digits) information to digital format
- upliftnet — Causal loss and metric for neural networks
- uq360 — Uncertainty Quantification 360
- urduhack — Natural Language Processing (NLP) library for Urdu language.
- us-sign-language — no summary
- usa-csc-526-by-spc — USA CSC 526 Final Project
- useckit — no summary
- utensor_cgen — C code generation program for uTensor
- utils-for-ds — common used functions for Data Scientist
- utime — A deep learning framework for automatic PSG sleep analysis.
- uv-metrics — Shared tooling for Blueshift research.
- va-am — VA-AM method implementation
- vacuum-cleaner — Deep Vacuum Cleaner
- vaeda — A computational tool for annotating doublets in scRNAseq data.
- vaers-downloader — VAERS DATA DOWNLOADER
- vaex-ml — Machine learning support for vaex
- vai-utils — VAI utils
- vaknl-conversion-model — Conversion model package. Only contains training serving library for now.
- van-classification-tensorflow — TensorFlow 2.X reimplementation of Visual Attention Network, Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu.
- vbnigmm — Variational Bayes algorithm for normal inverse Gaussian mixture models
- vcai-be-common — A log system for python-hemu
- vcap — A library for creating OpenVisionCapsules in Python
- vectice — Vectice Python library
- vector-quantize-tf — tensorflowでの残差ベクトル量子化の実装
- vectorhub — One liner to encode data into vectors with state-of-the-art models using tensorflow, pytorch and other open source libraries. Word2Vec, Image2Vec, BERT, etc
- vectorhub-nightly — One liner to encode data into vectors with state-of-the-art models using tensorflow, pytorch and other open source libraries. Word2Vec, Image2Vec, BERT, etc
- veda-tensorflow — VEDA Tensorflow
- vegasflow — Monte Carlo integration with Tensorflow
- Velox — Batteries-included tooling for handling promotion, versioning, and zero-downtime requirments of Machine Learning models in production.
- verifai — A toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.
- veripupil — Python classes for optimizing models against veri
- vertexai — Please run pip install vertexai to use the Vertex SDK.
- vfacenet — facenet
- vggface — VGGFace for TFv2
- vggish-keras — VGGish in Keras.
- vgslify — VGSLify is a Python toolkit designed for rapid prototyping and seamless conversion between TensorFlow models and the Variable-size Graph Specification Language (VGSL). Drawing inspiration from Tesseract's VGSL specs, VGSLify introduces enhancements and provides a streamlined approach to define, train, and interpret deep learning models using VGSL.
- vhr-cloudmask — Deep learning pipeline to cloud mask VHR imagery