6402 Open source projects that are alternatives of or similar to Hello_nn

Continual Learning tutorials and demo running on Google Colaboratory.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Simple chat program that communicates using inaudible sounds

Repo of some side-issues/Sub-problems and their solutions I have encountered in my ML work in past few years.

Tutorials for the madmom package.

Resources for "Natural Language Processing" Coursera course.

Tutorial on stats and probability

A bunch of demos for different web font loading strategies. Companion to https://www.zachleat.com/web/comprehensive-webfonts/ Read more: https://www.zachleat.com/web/recipes/

Object detection useful tools for TensorFlow Object Detection API

Automatic Speech Recognition Dataset Generation

This is our implementation of Probabilistic Noise2Void

李宏毅2021机器学习深度学习笔记PPT作业

Implement SANet for crowd counting in Keras.

Python Hyperspectral Analysis Tools

An implementation of RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

Source Code for McKinsey Analytics Online Hackathon

Course materials

Deep-learning seismic facies on state-of-the-art CNN architectures

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

Predicting forex binary options using time series data and machine learning

Exploring Audio Features and building a Machine Learning Approach

Detecting emotion in voices

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

(Winter 2015) Python for Data Mining mini-course.

The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published at WSDM 2019.

Open Matrix (OMX)

Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)

MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla

Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE

PyTorch implement of Google Deep Dream

My weekly of machine learning. Collection of implemented algorithms.

DeepRacer workshop content

High Quality Monocular Depth Estimation via Transfer Learning

Solution for https://www.coursera.org/learn/language-processing

multithreading/multiprocessing with ipywidgets and jupyter notebooks

Pytorch code for multi-Instance multi-label problem

Exercises for tf (eager) learning

An example on how Correlation Matrix can be displayed and clustered

neuro data analysis in python

PyTorch code for Paper "Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference"

Child Growth Monitor Machine Learning

2019中国高校计算机大赛——大数据挑战赛 第15名 WriteUp

Differentiable interface to FEniCS for JAX using dolfin-adjoint/pyadjoint

https://www.kaggle.com/c/carvana-image-masking-challenge

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

A simple offline blog, using ServiceWorker

PyMC3-like Interface for Pyro

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

A tutorial for using YOLACT in Google Colab

由机械工业出版社出版的python金融大数据分析，python学习手册三本经典书籍以及利用python进行数据分析机器代码。

numpy implementation of Recurrent Neural Network