neural-network
Repositories (1342)
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
A neural network framework (with autograd!) for object pascal 🧠
A collection of model deployment library and technique.
Semantic Image-to-Image Translation for Domain Adaptation
Ogma - EOgmaDrive https://ogma.ai/
Object Detection and 3D Pose Estimation
A Simple Deep Neural Network to classify images made with Keras
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
A curated list of repositories for my book Machine Learning Solutions.
Exploring Neural Text Simplification
Scripts to help to detect anomalies in pcap file. Anomaly Detection using tensorflow and tshark.
A simple, easy-to-use and flexible siamese neural network implementation for Keras
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Vintage guitar amp using neural networks.
General-Purpose Neural Networks for Sentence Boundary Detection
Make pytorch and tensorflow two become one.
Bayesian Neural Network in PyTorch
Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
Multifaceted Feature Visualization
A list of paper, books and sites for various different topics related to machine learning and deep learning along with various field in which it is im...
An experiment with neural network and genetic algorithms
PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
Neural networks + Genetic algorithm on unity
Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
NEAT (NeuroEvolution of Augmenting Topologies) implemented in Go
This code will help the users to get an idea of the accidents well before the accident took place
ML From Scratch
FloydHub's documentation code. Contributions welcome!
Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline.
My personal repository of notes served through Github pages at http://www.ritchieng.com/
Learning Sparse High Dimensional Filters with Neural Networks
Simple APIs to load and prepare data for use in machine learning models
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
simple machine learning demo
An unofficial Tensorflow implementation of the DSNT layer, as taken from the paper "Numerical Coordinate Regression with Convolutional Neural Networks...
A neural network for CounterStrike:GlobalOffensive character detection and classification. Built on a custom-made dataset (csgo-data-collector)
Physics-Informed Neural networks for Advanced modeling
NanoNets Object Detection API Example for Python
Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation
Transfer pre-trained VRN model from torch to Keras/Tensorflow
Analysis of credit card fraud data
Extract and solve sudoku from an image using Computer Vision and Deep Learning
TVM Relay IR Visualization Tool (TVM 可视化工具)
Tokenize English sentences using neural networks.