Popular GitHub Repositories for Protein Comparison

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

Facilitating the design, comparison and sharing of deep text matching models.

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 7 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

List of papers about Proteins Design using Deep Learning

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

ARCH models in Python

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! ?

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

Implementation of the model from "ProGen: Language Modeling for Protein Generation"

Generation of protein sequences and evolutionary alignments via discrete diffusion models

? The experiment tracker for foundation model training

Diffusion models of protein structure; trigonometry and attention are all you need!

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Facilitating the design, comparison and sharing of deep text matching models.

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa