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Name: David Landup
Type: User
Company: RecursiveAI
Bio: Machine Learning Research Engineer combining Physics and ML @recursiveai. Author of DeepVision.
Name: David Landup
Type: User
Company: RecursiveAI
Bio: Machine Learning Research Engineer combining Physics and ML @recursiveai. Author of DeepVision.
PyTorch android examples of usage in applications
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of Python packages related to chemistry
A curated list of resources for learning bioinformatics.
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.
Series of notebooks accompanying the book "Practical Deep Learning for Computer Vision with Python" to get you from walking to running in CV with Keras/TensorFlow, KerasCV and PyTorch
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
Deep Learning for humans
Industry-strength Computer Vision workflows with Keras
Keras Implementation of Leslie Smith's method for finding an optimal starting learning rate.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021
Trainable PyTorch reproduction of AlphaFold 2
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
WIP Implementation of Geoffrey Hinton's Forward-Forward Algorithm, as an alternative to backprop, in TensorFlow.
A Detection Toolbox for Tensorflow2
Minimalistic demo application for performing inference using a custom-trained YOLOv5 model, with Flask
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.