Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- comport-ai — An HR predictive analytics tool that forecasts the likely range of a worker’s future job performance, using ANNs whose custom loss functions enable them to formulate prediction intervals that are as small as possible, while being just large enough to contain a worker’s actual future performance in most cases.
- compositional-attention — An Implementation of Compositional Attention that disentagles seearch and retrieval.
- comun-va — no summary
- concha — Concha finds the optimal amount of perishable goods to produce.
- concise — CONCISE (COnvolutional Neural for CIS-regulatory Elements)
- cond-rnn — Conditional RNN
- confessionscommenter — Autogenerate Comments for Facebook Posts
- ConfNet — no summary
- conformer-rl — Deep Reinforcement Library for Conformer Generation
- conformer-tf — An implementation of Conformer:Convolution-augmented Transformer for Speech Recognition in TensorFlow
- conmo — Conmo is a framework developed in Python whose main objective is to facilitate the execution and comparison of different anomaly detection and experiments.
- connectionist — Tools for classical connectionist models of reading with TensorFlow
- connectomics — Common repository for connectomics-related libraries.
- CoNSEPT — A Convolutional Neural Network-based Sequence-to-Expression Prediction Tool
- constrained-attacks — constrained-attacks is a framework to generate adversarial examples under domain specific constraints.
- contentai-activity-classifier — ContentAI Activity Classification Service
- conveiro — Visualization of filters in convolutional neural networks
- conversational-sentence-encoder — Dual sentence encoder package
- convert2snn — Convert conventional to spiking neural networks.
- convo-engine — Convo: the AI powered chatbot API 2.0
- convo-latest — Convo: the AI powered chatbot API 2.0
- convo-n2 — Convo: the AI powered chatbot API 2.0
- convo-new-version-abdo — Convo: the AI powered chatbot API 2.0
- convo-nl2 — Convo: the AI powered chatbot API 2.0
- convo-nlu — Convo: the AI powered chatbot API 2.0
- convo-nlu2 — Convo: the AI powered chatbot API 2.0
- convo-tt — Convo: the AI powered chatbot API 2.0
- convo5 — Convo: the AI powered chatbot API
- convo6 — Convo: the AI powered chatbot API
- convo7 — Convo: the AI powered chatbot API
- convoxxx — Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
- cookiepy — Python Boilerplate for Python package.
- coolstuff — ML-analysis
- COOM — COOM: Benchmarking Continual Reinforcement Learning on Doom
- coqui-stt-training — Training code for Coqui STT
- coral-ordinal — Tensorflow Keras implementation of CORAL ordinal regression output layer, loss, activation, and metrics
- corl — Core ACT3 Reinforcement Learning (RL) Library - Core framework and base implementations of common things such as controllers, glues, observes, sensors, evaluation, and etc
- corrupted-text — Corruption of text datasets; model-independent and inspired byreal-world corruption causes.
- cortecs — Compress opacity for radiative transfer
- cortexflow — A Machine learning library
- COSCST — Single-cell RNA sequencing data excels in providing high sequencing depth and precision at the single-cell level, but lacks spatial information. Simultaneously, spatial transcriptomics technology visualizes gene expression patterns in their spatial context but has low resolution. Here, we present COSCST that combines these two datasets through autoencoder and supervised learning model to map single-cell RNA-seq data with spatial coordination and spatial transcriptomics with precise cell type annotation.
- cosmopower — Machine Learning - accelerated Bayesian inference
- counterfactual — This project is a framework for counterfactual analysis
- covid-env-biggreen-xprize — no summary
- covid-vision — This project aims to develop Computer Vision algorithms to help the detection of COVID-19 virus on images.
- covid19-detection — Detection of COVID-19 from Chest X-Ray Images
- covxnet — Official Implementation of CovXNet using Tensorflow 2.0
- CPred — CPred: A deep learning framework for predicting the charge state distribution in modified and unmodified peptides in ESI
- craynn — Yet another neural network toolkit.
- credentialdigger — Credential Digger
- credoai-lens — Lens: comprehensive assessment framework for AI systems
- cressp — a program to find cross-reactive epitopes with structural information from known protein structures.
- crikit — Constitutive Relation Inference Toolkit
- crispr-chronos — Time series modeling of CRISPR perturbation readcounts in biological data
- critical-path — Tools for adapting universal language models to specifc tasks
- crocodile — Deep Learning Framework & Workload Management For On-premise Personal Machines.
- cropclassification — Package to classify crops based on sentinel images.
- cross-framework-hpo — Hyperparameter Search tools in order to quantify differences between deep learning frameworks
- crossedwires — CrossedWires: An Inter-framework ModelDivergence Dataset Generated using HyperparameterOptimization
- crowdsourcephoto — Crowded field photometry pipeline
- cryoet-deepfinder — DeepFinder is an original deep learning approach to localize macromolecules in cryo electron tomography images. The method is based on image segmentation using a 3D convolutional neural network.
- cspot — CELL SPOTTER (CSPOT): A scalable framework for automated processing of highly multiplexed tissue images
- csrank — Context-sensitive ranking
- ctc-chroma — CTC-based chroma feature exractors
- ctextinct — Educational Cyber Security Chatbot - Working to Making Cyber Threats Extinct
- ctodd-python-lib-data-science — Python utilities used for practicing data science and engineering
- ctr-acn — test code based on deepctr
- CTRs — A package for CTR prediction
- cuda-checker — NVIDIA CUDA checker for pythonn deeplearning project.
- cuellartensorflow — Una libreria simple para crear modelos de lenguaje con tensorflow
- CurriculumAgent — CurriculumAgent is a cleanup and improved version of the NeurIPS 2020 Competition Agent by Binbinchen.The agent is build to extract action sets of the Grid2Op Environment and then use rule-based agent to train a Reinforcement Learning agent.
- curvlearn — Tensorflow based non-Euclidean deep learning framework
- custom-nmt — no summary
- CustomIntents — no summary
- cvae — CompressionVAE: General purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder.
- cvkit-optipose — Postural auto-encoder
- cvlab-dl — An unified laboratory/framework for Computer Vision research, development and deployment.
- cvlab-keras — # Machine learning toolkit for CV-Lab
- cvt-tensorflow — TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang.
- cvtron — Out-of-the-Box Computer Vision Library
- cxr-foundation — CXR Foundation: chest x-ray embeddings generation.
- cxr-models — Image classification models. Keras for Chest X-Ray
- cyb3r-vector-sdk — The Vector SDK is a connected vision- and character-based robotics platform for everyone.
- cyberbattle — Cyber environment in Python with gym like API
- cycle-prediction — A package to train and predict the end of a process from history logs
- cytopy — Data centric algorithm agnostic cytometry analysis framework
- cytoself — An image feature extractor with self-supervised learning
- czmodel — A conversion tool for TensorFlow or ONNX ANNs to CZANN
- d3m-simon — Character-level CNN+LSTM model for text classification
- Da-Ponz — Da_Ponz crytocurrency trader
- da-rnn — A tensorflow 2.0 implementation of the Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- DA4RDM-RecSys-ContentBased — A package that recommends similar data collections based on unstructured and explicitly provided meta information of files.
- dafd — Python package for the library for DAFD.
- DaMa-ML — A framework for data management and is used to do data science and machine learning's pipelines
- damagedetection — Disaster Damage Detector
- daml — DAML provides a simple interface to characterize image data and its impact on model performance across classification and object-detection tasks
- danila — This is the module for detecting and classifying text on rama pictures
- danila-lib — This is the module for detecting and classifying text on rama pictures
- danilov0x33-vector — The Vector SDK is a connected vision- and character-based robotics platform for everyone.
- dankag — utilities for kaggle competitions