Reverse Dependencies of tensorflow-datasets

The following projects have a declared dependency on tensorflow-datasets:

• a3t — Implementation for A3T
• aigs — no summary
• aiproteomics — A package for MSMS spectral library prediction models from the field of (phospho-)proteomics, intended to facilitate the testing and comparison of different neural network architectures and existing models.
• aironsuit — A model wrapper for automatic model design and visualization purposes.
• ALbedo — A package for pre-trained image classification and context-decider for question-answering chatbots.
• alien-ink — Alien Ink - a personal machine learning toolkit
• angorapy — Build Goal-driven Models of the Sensorimotor Cortex with Ease.
• anomaly-toolbox — Anomaly Toolbox Powered by GANs
• APalysis — no summary
• armory-testbed — Adversarial Robustness Test Bed
• Attention-and-Transformers — Building attention mechanisms and Transformer models from scratch. Alias ATF.
• avici — Amortized Inference for Causal Structure Learning
• axlearn — AXLearn
• backwardcompatibilityml — Project for open sourcing research efforts on Backward Compatibility in Machine Learning
• benchmarx — Tools for benchmarking optimization methods
• best-package — no summary
• bmr4pml — Bayesian model reduction for probabilistic machine learning
• cehrbert — CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
• chady — A package for ML libraries
• charmory — Adversarial Robustness Evaluation Library
• chisel4ml — A Chisel based hardware generation library for highly quantized neural networks.
• cleverhans — no summary
• clu — Set of libraries for ML training loops in JAX.
• colearn — The Standalone Fetch AI Collective Learning Framework
• dataset-grouper — Dataset Grouper - A library for datasets with group-level structure.
• datumaro — Dataset Management Framework (Datumaro)
• ddsp — Differentiable Digital Signal Processing
• deatf — Distributed Evolutionary Algorithms in TensorFlow (DEATF) is a framework where networks generated with TensorFlow are evolved via DEAP.
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dnnviewer — Deep Neural Network inspection: view weights, gradients and activations
• EasyDeL — An open-source library to make training faster and more optimized in Jax/Flax
• edward2 — Edward2
• einml — Tensorflow utility library
• enformer-dna-diff — This is a package for that combines DeepMind Enformer model with DNA Diffusion project
• etils — Collection of common python utils
• evox — evox
• fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• fedml-afaf — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• FireSpark — FireSpark data processing utility library
• flax — Flax: A neural network library for JAX designed for flexibility
• flexible-fl — no summary
• fog-x — An Efficient and Scalable Data Collection and Management Framework For Robotics Learning
• gans2 — GANs-2.0
• gmmvi — A library for learning Gaussian mixture models for variational inference
• gradient-accumulator — Package for gradient accumulation in TensorFlow
• grain — Grain: A library for loading and transforming data for neural network training.
• grain-nightly — Grain: A library for loading and transforming data for neural network training.
• hcai-datasets — !Alpha Version! - This repository contains the backend server for the nova annotation ui (https://github.com/hcmlab/nova)
• hcai-datasets-nightly — !Alpha Version! - This repository contains the backend server for the nova annotation ui (https://github.com/hcmlab/nova)
• hearpreprocess — Holistic Evaluation of Audio Representations (HEAR) 2021 -- Preprocessing Pipeline
• helloai — A Python Library For AI Education
• icgen — Image Classification Dataset Generator
• image-classification-jax — Run image classification experiments in JAX with ViT, resnet, cifar10, cifar100, imagenette, and imagenet.
• image-quality — Image quality is an open source software library for Automatic Image Quality Assessment (IQA).
• insynth — Domain-specific generation of test inputs for robustness testing of ML models
• intel-transfer-learning-tool — Intel® Transfer Learning Tool
• ivystar — python tools package of ivystar
• jax-ai-stack — no summary
• jax-dataloader — Dataloader for jax
• jax-sgmc — Stochastic Gradient Monte Carlo in Jax
• jovsatools — A collection of tools
• keras-cv — Industry-strength computer Vision extensions for Keras.
• keras-cv-attention-models — Tensorflow keras computer vision attention models. Alias kecam. https://github.com/leondgarse/keras_cv_attention_models
• keras-cv-nightly — Industry-strength computer Vision extensions for Keras.
• keras-declarative — A declarative Keras interface.
• keras-fsl — Model builders for some State-of-the-Art architectures in few-shot and contrastive learning
• kubric — A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation, depth maps, and optical flow.
• kubric-nightly — A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation, depth maps, and optical flow.
• larq-zoo — Reference implementations of popular Binarized Neural Networks
• learned-optimization — Train learned optimizers in Jax.
• lingvo — Lingvo libraries.
• llaminate — Optimized version of llama3 / gemma.
• long-range-models — Simple Flax implementations of long-range sequence models
• madness-deblender — Galaxy deblender from variational autoencoders
• magenta — Use machine learning to create art and music
• magenta-gpu — Use machine learning to create art and music
• mediapipe-model-maker — MediaPipe Model Maker is a simple, low-code solution for customizing on-device ML models
• mesh-tensorflow — Mesh TensorFlow
• micromind — MicroMind
• midi-ddsp — Synthesis of MIDI with DDSP
• minerl-navigate — minerl-navigate - MineRL Navigate Video Dataset
• mldiag — A framework to diagnose ML models
• model-card-toolkit — Model Card Toolkit
• mri-datasets — A collection of MRI datasets.
• neural-tangents — Fast and Easy Infinite Neural Networks in Python
• neuroevobench — Neuroevolution Benchmark
• nkia — This is a module to predict the products category using artificial inteligence.
• oasis-api-client — OASIS is a Python wrapper of ONNC
• odin-ai — Deep learning for research and production
• onnxds — Create datasets using onnx and serialize tensorflow_datasets in onnx datasets.
• oodeel — Simple, compact, and hackable post-hoc deep OOD detection for alreadytrained tensorflow or pytorch image classifiers.
• optax — A gradient processing and optimization library in JAX.
• paxml — Framework to configure and run machine learning experiments on top of Jax.
• pgmax — Loopy belief propagation for factor graphs on discrete variables in JAX
• praxis — Functionalities such as a layers for building neural networks in Jax.
• predflow — Predictive coding with tensorflow
• psiz-datasets — Tools for managing and using PsiZ Datasets.
• ragoon — RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
• rasa-hydra — Forked from the open source machine learning framework, Rasa
• rlds — A Python library for Reinforcement Learning Datasets.