Orsai

dl-visuals. Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

ncps. PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

AlertX. A library for SwiftUI to create custom alerts with different appearances and animations.

Interactive_Tools. Interactive Tools for Machine Learning, Deep Learning and Math

hctsa-py. Python

Grokking-Deep-Learning. this repository accompanies the book "Grokking Deep Learning"

stanford-cs-230-deep-learning. VIP cheatsheets for Stanford's CS 230 Deep Learning

Keras-Multiple-Process-Prediction. A Simply Example to show how to use Keras model in multiple processes to do the prediction

Stacked_Hourglass_Network_Keras. Keras Implementation for Stacked Hourglass Network

MobileNetV3. A Keras implementation of MobileNetV3.

yolov3-tf2. YoloV3 Implemented in Tensorflow 2.0

Learn-Natural-Language-Processing-Curriculum. This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube

CoreMLHelpers. Types and functions that make it a little easier to work with Core ML in Swift.

labelme. Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

awesome-ml-demos-with-ios. The challenge projects for Inferencing machine learning models on iOS

Awesome-CoreML-Models. Largest list of models for Core ML (for iOS 11+)

Colours. A beautiful set of predefined colors and a set of color methods to make your iOS/OSX development life easier.

netron. Visualizer for neural network, deep learning and machine learning models

coreml-survival-guide. Source code for the book Core ML Survival Guide

mathematics_dataset. This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

awesome-ios. A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects

pykliep. A density ratio estimator package for python using the KLIEP algorithm.

keras-tcn. Keras Temporal Convolutional Network. Supports Python and R.

wave_clus. A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering

dnc. Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

torchdiffeq. Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

BR_projects. This repository contains codes used in a paper (Fujiwara et al., 2018, PLoS ONE).

best-of-jupyter. Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost

deeplab_v3. Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

lucid. A collection of infrastructure and tools for research in neural network interpretability.

qaequilibrae. Free QGIS add-on for transportation modeling

AutoFields. QGIS plugin to configure automatic vector field updates when creating or modifying features.

UVCCamera. library and sample to access to UVC web camera on non-rooted Android device

jupyterlab. JupyterLab computational environment.

FCRN-DepthPrediction. Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

awesome-rnn. Recurrent Neural Network - A curated list of resources dedicated to RNN

yolo-9000. YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

hctsa. Highly comparative time-series analysis

squeezeDet. A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

markdown-here. Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

labelImg. LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

lutorpy. Use torch in python for deep learning.