tqdm
FrameworkOpen-source projects built with tqdm
There are currently 17 open-source projects built with tqdm, with a combined total of 10.4k GitHub stars. The most common language among these projects is Python.
Showing 17 open-source projects
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.
A fast, modular PyTorch reference implementation for training and evaluating semantic segmentation models.
TensorFlow implementation of arbitrary order (≥2) Factorization Machines for classification and regression tasks.
A deep learning library built on Chainer for molecular property prediction using graph convolutional neural networks.
A Python library for class-imbalanced ensemble learning with 30+ algorithms, built on scikit-learn.
A 100M-parameter foundation model for single-cell transcriptomics, enabling gene expression enhancement, drug response prediction, and perturbation analysis.
An unsupervised machine learning approach to learn vector representations of molecular substructures for cheminformatics.
A Python CLI tool that displays detailed information about your local movie collection directly in the terminal.
A Python probabilistic programming framework for objective model selection in time-varying parameter time series models.
A trading environment for reinforcement learning agents, supporting backtesting, live trading, and multiple RL algorithms.
Add tqdm progress bars to JAX scans and loops using decorators, enabling side-effect-free progress tracking.
TensorFlow implementation of hierarchical attention networks for document classification using GRU cells and attention mechanisms.
A PyTorch-based Python library for energy-based machine learning models, including Restricted Boltzmann Machines and Deep Belief Networks.
A Python package for 3D single-cell shape analysis using geometric deep learning on point clouds and voxels.
A bilateral awareness network combining transformers and convolutions for semantic segmentation of very fine resolution urban scene images.
A Python command-line tool for encoding text sequences into vector-of-vector representations using word embeddings.
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