:mega: Python library for audio augmentation
Repository Index
47,133 repositories indexed
217–232 of 232 · Most stars
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
- beginner-friendly
- beginner-project
- deep-learning
- deep-neural-networks
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
Unsupervised Image to Image Translation with Generative Adversarial Networks
- tensorflow
- tensorlayer
- deep-learning
- image-to-image
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
An Easy To Use PyTorch Computer Vision Library
- computer-vision
- deep-learning
- pytorch
- pytorch-lightning
Cryptographic Dataset Generation & Modelling Framework
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
Spatial Transformer Nets in TensorFlow/ TensorLayer
- tensorlayer
- tensorflow
- cnn
- deep-learning
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning
3D shape analysis using deep learning
- cancer-biology
- cell-biology
- deep-learning
- geometric-deep-learning
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
Tool for suggesting lemma names in Coq verification projects
- coq
- machine-learning
- name-generation
- pytorch
TensorLight - A high-level framework for TensorFlow
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
- deep-learning
- semantic-segmentation
- segmentation
- pytorch