Pytorch
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An accessible, general-purpose platform for understanding, managing, deploying, and automating adaptive experiments using Bayesian and bandit optimization.
An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.
Automatic neural architecture search and hyperparameter optimization for PyTorch, focusing on tabular data and time series forecasting.
A Python library for outlier, adversarial, and drift detection in machine learning models, supporting tabular, text, image, and time series data.
HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
A flow-based generative network for fast, high-quality speech synthesis from mel-spectrograms.
A large-scale dataset of object-centric video clips with 3D bounding box annotations and AR metadata for 3D object detection research.
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
A Python library for audio data augmentation to improve the robustness of audio machine learning models.
A deep learning system for accurate protein structure and interaction prediction using a three-track neural network.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
PyGAD is a Python library for building genetic algorithms and optimizing machine learning models with Keras and PyTorch support.
A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
A toolkit and library for developing, evaluating, and reproducing reinforcement learning algorithms.
A Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY.
An end-to-end Python pipeline for semantic segmentation of aerial and satellite imagery to extract features like buildings and roads.
An end-to-end deep learning system for reconstructing complete 3D scenes (geometry and semantics) from posed 2D images.
A Python package for fine-tuning and generating text with GPT-2 and GPT Neo models using PyTorch and Hugging Face Transformers.
An end-to-end 3D object detection network that uses deep point set networks and Hough voting to directly detect objects in point clouds.
A collection of models, callbacks, and datasets to extend PyTorch Lightning for applied AI/ML research and production.
Clean PyTorch implementations of imitation and reward learning algorithms for reinforcement learning.
A lightweight library providing PyTorch training tools and utilities to simplify and standardize training loops.
A deep learning model for protein sequence design that generates amino acid sequences for given protein backbones.
A Python library for simulating spiking neural networks (SNNs) using PyTorch, geared towards biologically inspired machine learning.
A Python library for offline deep reinforcement learning with support for state-of-the-art algorithms and user-friendly APIs.
A unified framework for implementing and training deep learning models on tabular data using PyTorch and PyTorch Lightning.
A Python library for automated hyperparameter optimization and model evaluation with TensorFlow, Keras, and PyTorch.
A Python library for deep probabilistic modeling and analysis of single-cell and spatial omics data.
A general-purpose PyTorch codebase for 3D object detection with state-of-the-art model implementations and multi-dataset support.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
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