(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
This code will help the users to get an idea of the accidents well before the accident took place
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
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
Tokenize English sentences using neural networks.
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
TVM Relay IR Visualization Tool (TVM 可视化工具)
Stock price trend prediction with news sentiment analysis using deep learning
U-Net implementation on darknet (semantic segmentation)
Character Embeddings Recurrent Neural Network Text Generation Models
A simple, easy-to-use and flexible siamese neural network implementation for Keras
My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity
Implementation of (2018) Neural Ordinary Differential Equations on Keras
Matlab Module for Stock Market Prediction using Simple NN
real time multi-person pose estimation based on atrous convolution(abandoned)
keras theano 验证码破解 字母+数字
Deeplab for semantic segmentation tasks
Codes for our paper "Revisiting Multiple Instance Neural Networks".
A simple Flask application that recognizes handwritten digits. Developed using TensorFlow and Keras.
This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project i...
A NodeJS wrapper of pjreddie's darknet / yolo.