Pinned Repositories
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
clarity-upscaler
face_recognition
The world's simplest facial recognition api for Python and the command line
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
Keras-GAN
Keras implementations of Generative Adversarial Networks.
MidJourney-MidJourney-Styles-and-Keywords-Reference
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!
mind-vis
Code base for MinD-Vis
NapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
am-official's Repositories
am-official/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
am-official/clarity-upscaler
am-official/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
am-official/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
am-official/MidJourney-MidJourney-Styles-and-Keywords-Reference
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!
am-official/mind-vis
Code base for MinD-Vis
am-official/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
am-official/autoPET
repository for autoPET machine lerning challenge
am-official/Awesome_BigData_AI_DrugDiscovery
A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.
am-official/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
am-official/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
am-official/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
am-official/development-resources
Collection of useful development resources
am-official/drug-repurposing
Drug Repurposing using TigerGraph and Graph Machine Learning.
am-official/Fractalshades
Arbitrary-precision fractal explorer - Python package
am-official/gans-2.0
Generative Adversarial Networks in TensorFlow 2.0
am-official/labelflow
The open platform for image labelling
am-official/Machine-Learning
"Unlock the insights hidden in data with machine learning - let's explore some key interview questions together!"
am-official/Machine_Learning
This machine learning series will have a collection of various topics and techniques in machine learning. This series starts with an introductory course that covers the basics of machine learning, including supervised and unsupervised learning, the bias-variance tradeoff, and model evaluation techniques.
am-official/medical-imaging-datasets
A list of Medical imaging datasets.
am-official/OpenVoice
Instant voice cloning by MyShell.
am-official/post--communicating-with-interactive-articles
am-official/Pub_Repo
Sharing
am-official/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
am-official/Python_Tutorial
Complete Python Tutorial Repository for Beginner to Advanced.
am-official/Real_Time_Image_Animation
The Project is real time application in opencv using first order model
am-official/riffusion-app
Stable diffusion for real-time music generation (web app)
am-official/Super-SloMo
PyTorch implementation of Super SloMo by Jiang et al.
am-official/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
am-official/torch-Comparisons-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.