Pytorch
Showing 36 of 294 projects
Official implementation of a 3D equivariant diffusion model for generating drug-like molecules that bind to specific protein targets and predicting their binding affinity.
An educational relational database (RDBMS) written in Rust, designed for teaching database systems concepts inspired by CMU 15-445.
An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
An integrated framework for training custom generative AI image-to-image models using GANs, Diffusion, and Consistency Models.
A convolutional neural network for CAPTCHA recognition using Keras and PyTorch.
A large-scale image dataset for self-supervised pretraining without humans, designed to reduce privacy concerns.
A PyTorch framework for deep learning on point clouds, providing a modular and reproducible foundation for 3D vision tasks.
A bi-directional equivariant transformer for long-range DNA sequence modeling, enabling reverse-complement aware genomic analysis.
A PyTorch frontend for JAX that enables running PyTorch code on TPUs and provides seamless PyTorch-JAX interoperability.
A Python library that simplifies using, finetuning, and deploying state-of-the-art machine learning models for various AI tasks.
Turn Godot projects into OpenAI Gym environments for training reinforcement learning models with PyTorch via shared memory.
A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.
A foundation model for cell segmentation that achieves state-of-the-art performance across diverse cellular targets and imaging modalities.
A Python library for building lazy data processing and machine learning workflows that handle datasets larger than memory.
A benchmark dataset and meta self-learning method for multi-source domain adaptation in scene text recognition.
A PyTorch-based segmentation toolbox for electron microscopy connectomics, enabling neural structure analysis in 3D volumes.
A simple, flexible, and extensible object-oriented template for PyTorch projects.
A Python machine learning and informatics suite for analyzing, mining, and modeling chemical and materials data.
A collection of examples demonstrating how to use Comet.ml for machine learning experiment tracking across various Python frameworks.
A deep learning model for joint perception and motion prediction in autonomous driving using bird's eye view maps.
A modular NLP framework for extracting information from French clinical notes, compatible with spaCy and PyTorch.
A Python library that builds neural networks with minimal boilerplate code for PyTorch and TensorFlow.
A deep learning model using transformer architecture to predict compound-protein interactions from molecular and protein sequences.
Open-source implementation of the winning solution for the 2018 Data Science Bowl Kaggle competition using PyTorch and U-Net.
A deep bilinear attention network framework with adversarial domain adaptation for interpretable drug-target interaction prediction.
A PyTorch implementation combining Graph Convolutional Networks with OpenNMT-py for structured data to text generation.
A PyTorch Geometric extension library for signed and directed graph neural networks, embedding, and clustering methods.
A PyTorch implementation of the DeepDream algorithm for generating psychedelic, dream-like images from neural network activations.
A deep learning-based, threshold-agnostic, subpixel-accurate 2D and 3D spot detection method for fluorescence microscopy and spatial transcriptomics.
A PyTorch-based deep learning library for building and training spiking convolutional neural networks with hardware deployment support.
A knowledge-informed cross-species foundation model pre-trained on over 120 million human and mouse single-cell transcriptomes to decipher universal gene regulatory mechanisms.
An open-source benchmark solution for the Kaggle TGS Salt Identification Challenge using semantic segmentation.
A deep learning framework for predicting chromatin profiles and sequence regulatory activities from DNA sequences and variants.
A 3D object detection method that exploits visibility information from LiDAR point clouds to improve accuracy.
A Python package providing popular computer vision model architectures built with Equinox for JAX.
A toolkit for evaluating and monitoring machine learning models in clinical healthcare settings.
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