Reverse Dependencies of fastprogress

The following projects have a declared dependency on fastprogress:

• Aaron — A python library of convenience
• ai-python — Microsoft AI Python Package
• atai — Atomic AI – An attempt at a minimalist, flexible deep learning framework for diverse models.
• bayes-vi — A package for bayesian inference
• blackjax — Flexible and fast sampling in Python
• blackjax-nightly — Flexible and fast sampling in Python
• bletl — Package for parsing and transforming BioLector raw data.
• bnlm — Bengali Language Model
• capetools — Basic set of python tools
• cdfm — Combination-dependent Factorization Machines
• cloud-diffusion — Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models
• cmn_ai — no summary
• corrai — Data correction and Machine Learning
• datasetscraper — Tool to create image datasets for machine learning problemsby scraping search engines like Google, Bing and Baidu.
• DLTKDL — DLTKDL is a wrapper for TensorFlow and Keras that makes deep learning and AI more accessible and easier to apply
• drlx — DRLX is a library for distributed training of diffusion models via RL
• dynamax — Dynamic State Space Models in JAX.
• faceshine — Photo image enhancer
• fast-bert — AI Library using BERT
• fast-bert-no-plot — AI Library using BERT
• fast-bert-xrendan — AI Library using BERT
• fastai — fastai simplifies training fast and accurate neural nets using modern best practices
• fastai-minima — A minimal version of fastai with only what's needed for the training loop
• fastai2 — Version 2 of the fastai library
• fastAIcourse — fastAIcourse
• fastdownload — A general purpose data downloading library.
• fastrl — fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.
• FireHR — High-resolution burned areas using Sentinel-2 data
• frenchtext — NLP library to process french text
• geoget — Download geodata for anywhere in Earth
• geowrangler — Tools for dealing with geospatial data
• hepml — Practical machine learning for particle physicists
• icevision-dashboards — Provides dashboard components and dashboards to get insight into data.
• inltk — Natural Language Toolkit for Indian Languages (iNLTK)
• instanovo — De novo sequencing with InstaNovo
• intake-esm — An intake plugin for parsing an Earth System Model (ESM) catalog and loading netCDF files and/or Zarr stores into Xarray datasets.
• irspack — Implicit feedback-based recommender systems, packed for practitioners.
• jmd-imagescraper — Image scraper for DuckDuckGo for creating deep learning datasets
• keywords2vec — To generate a word2vec model, but using multi-word keywords instead of single words.
• lib2nbdev — A small library for converting existing libraries and projects to nbdev
• lib2nbdev2 — A small library for converting existing libraries and projects to nbdev
• littlemcmc — A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
• local-feature-tutorial — DIY image retrieval with spatial verification
• lssm — Modelling pipeline to develop and monitor Large Soil Spectral Models (LSSM)
• lumin — LUMIN Unifies Many Improvements for Networks: A PyTorch wrapper to make deep learning more accessable to scientists
• macc — mini accelerator
• mb-utils — Basic logger and utils package
• micropymc — Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
• miniminiai — A mini version of fastai's miniai
• mrl-pypi — Molecular reinforcement learning
• msapy — Multi-perturbation Shapley value Analysis (MSA)
• newAI — newAi
• nutpie — Sample Stan or PyMC models
• octopod — General purpose multi-task classification library
• openhsi — Library to calibrate, trigger and capture data cubes for the open source hyperspectral camera.
• pandiet — A library to reduce memory consumption of Pandas Dataframes
• pvtools — Basic set of python tools
• pylocron — Modules, operations and models for computer vision in PyTorch
• pymc-nightly — Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
• pymc3 — Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
• pymc3-ext-wlad — Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
• pyrff — Implementation of random fourier feature (RFF) approximations and Thompson sampling.
• pytorch-inferno — PyTorch Implementation of INFERNO
• pytorch-mnl — A simple MNL package that uses pytorch under the hood.
• pytorch-onfire — PyTorch meets Sklearn Pipelines.
• shot-chart — plotting shot charts from basketball-reference.com
• singleline-models — ML Models for Single-Line Drawings
• SmilesPE — Tokenize SMILES with substructure units
• spark-rapids-user-tools — A simple wrapper process around cloud service providers to run tools for the RAPIDS Accelerator for Apache Spark.
• summit — Tools for optimizing chemical processes
• TimeSeriesML — TimeSeriesML
• tinytorchutil — A personal collection of small utility functions for PyTorch and DL development.
• toai — To AI helper library
• toai-mokahaiku — To AI helper library
• tomopt — TomOpt: Differential Muon Tomography Optimisation.
• tonks — General purpose multi-task classification library
• two-to-tango — Tango automatically detects duplicate bugs that are captured in bug reports that contain videos detailing the bug
• upit — Unpaired Image-to-Image Translation with PyTorch+fastai
• vtorch — NLP research library, built on PyTorch.
• whisperspeech — An Open Source text-to-speech system built by inverting Whisper
• xcube — Extreme Multi-Label Text Classification