Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- peptide-property-predictor — A very simple peptide property predictor.
- perceiver — Implement of Perceiver, General Perception with Iterative Attention in TensorFlow
- perfect-information-game — Create 2D perfect information board games, and play them with machine learning systems.
- perlib — Deep learning, Machine learning and Statistical learning for humans.
- pernaf — An implementation of the Normalized Advantage Function Reinforcement Learning Algorithm with Prioritized Experience Replay
- persephone — A tool for developing automatic phoneme transcription models
- person-counter — Person Counter using torch
- petastorm — Petastorm is a library enabling the use of Parquet storage from Tensorflow, Pytorch, and other Python-based ML training frameworks.
- petroflow — A framework for well data processing
- pfl — Simulation framework for Private Federated Learning
- PG-SUI — Python machine and deep learning package to impute missing SNPs
- pgmax — Loopy belief propagation for factor graphs on discrete variables in JAX
- PhaseNet — PhaseNet
- phasespace — TensorFlow implementation of the Raubold and Lynch method for n-body events
- photon-ml — ML Framework
- photonai-graph — PHOTON Graph - Graph machine learning with photonai.
- phsic-cli — Pointwise Hilbert–Schmidt Independence Criterion (PHSIC)
- phylodeep — Phylodynamic paramater and model inference using pretrained deep neural networks.
- phynix-gym — no summary
- Phynteny — Phynteny: Synteny-based prediction of bacteriophage genes
- physicsrl — A package for reinforcement learning in physics simulations
- pic2vec — Featurize images using a decapitated, pre-trained deep learning network
- picklepie — a Python Package
- picsellia-tf1 — Tensorflow Object Detection Library with TF1.0
- picsellia-tf2 — Tensorflow Object Detection Library
- picta-gui — Simple GUI for use with identifying turtle plastrons
- pidgan — GAN-based models to flash-simulate the LHCb PID detectors
- piedomains — Predict categories based domain names and it's content
- pienex — Programmes propositional logic reasonings among the concepts learned by other neural networks
- pinns — Solve differntial equations using neural networks
- pipeline-diacritizer — Command-line application to automatically restore the diacritics of an Arabic text.
- pipeline-optuna — model pipeline with optuna
- piquasso — no summary
- piscat — A high-performance library for interferometric scattering microscopy.
- pitch-detectors — collection of pitch detection algorithms with unified interface
- pitchr — A Python library and framework for composing and playing music.
- pixano-inference — Inference models for Pixano, data-centric AI building blocks for computer vision applications
- pixel-perfect — A versatile Python package leveraging machine learning model for efficient image comparisons.
- pixie-price-forecast — Price forecast tools.
- PixMClass — Multiclass pixel classification
- plants-sm — PlantsSM
- playground — A Playground for RL and Robotics Environments
- playtest — A library for rapid prototyping of boardgames.
- pliers — Multimodal feature extraction in Python
- pml-pinn — Physics-informed neural networks
- poisson-CNN — A convolutional neural network based Poisson solver
- pollychem — no summary
- polyaxon-lib — Deep Learning library for TensorFlow for building end to end models and experiments.
- polyfuzz — PolyFuzz performs fuzzy string matching, grouping, and evaluation.
- polyid — Methods to train message passing neural network models on polymer structures.
- ponyo — Install functions to simulate gene expression compendia
- popv — Consensus prediction of cell type labels with popV
- poreplex — A versatile sequence read processor for nanopore direct RNA sequencing
- porespy — A set of tools for analyzing 3D images of porous materials
- porter-schmorter — porter is a framework for exposing machine learning models via REST APIs.
- portilooplot — Real-time learning curve for Jupiter notebooks
- porto-task — no summary
- pose-format — Library for viewing, augmenting, and handling .pose files
- posecamera — Realtime Human Pose Estimation
- posemaro — Dataset Management Framework (Posemaro)
- positional-encodings — 1D, 2D, and 3D Sinusodal Positional Encodings in PyTorch
- POSPairWordEmbeddings — POSPair Word Embeddings- Python framework for fast Vector Space Modelling
- Potosnail — improves ML workflow
- pou-shap — A unified approach to explain the output of any machine learning model.
- pranaam — Predict religion and caste based on name
- praxis — Functionalities such as a layers for building neural networks in Jax.
- pre-ai-python — Microsoft AI Python Package
- pre-reco-utils — Recommender System Utilities
- precise-lite-runner — no summary
- predflow — Predictive coding with tensorflow
- predictioner — The module of the program "Predictioner"
- prefopt — package for preference-based optimization
- preprocessing-pgp — Preprocessing required data for customer service purpose
- prevision-quantum-nn — Prevision Automating Quantum Neural Networks Applications
- price-forecast-suite-package — suite_data processing & modeling function
- princurve — A package for fitting principal curves in Python
- prinpy — A package for fitting principal curves in Python
- privGan — Privacy protected GAN for image data
- probabilistic-word-embeddings — Probabilistic Word Embeddings for Python
- probflow — A Python package for building Bayesian models with TensorFlow or PyTorch
- processdigit — processdigit
- processtransformer — Process Transformer Network for Predictive Business Process Monitoring Tasks
- profilescout — Profile Scout is a kit that uses crawling and machine learning to identify profile pages on any website, simplifying the process of extracting user profiles, gathering information, and performing targeted actions.
- prog-models — The NASA Prognostic Model Package is a python modeling framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.
- progen-transformer — Protein Generation (ProGen)
- proglearn — A package to implement and extend the methods desribed in 'Omnidirectional Transfer for Quasilinear Lifelong Learning'
- prognosais — Tool to quickly and easily train CNNs for medical imaging tasks
- progpy — The NASA Prognostic Package (ProgPy) is a python prognostics framework focused on building, using, and evaluating models and algorithms for prognostics (computation of remaining useful life) and health management of engineering systems, and provides a set of prognostics models for select components and prognostics algorithms developed within this framework, including uncertainty propagation.
- program-synthesis — NEAR Program Synthesis: models, tools, and datasets for program synthesis tasks
- projectslib — Library for code for my projects
- prolog-primitives — description here
- prolothar-queue-mining — algorithms for queue mining from event logs
- proset — Prototype set models for supervised learning
- protein-bert — A BERT-like deep language model for protein sequences.
- proteinnetpy — Read, process and write ProteinNet data
- protoflow — Highly extensible, GPU-supported Learning Vector Quantization (LVQ) toolbox built using Tensorflow 2.x and its Keras API.
- prpy — Collection of Python utils for signal, image, and video processing
- PSCMRCET-Tensorflow-object-trainer — Custom Object training system can be done by using single command line
- psiz — Toolbox for inferring psychological embeddings.
- psiz-datasets — Tools for managing and using PsiZ datasets.