5921 Open source projects that are alternatives of or similar to Deeplearning Models

Materials for a short course on convex optimization.

Machine Learning notebooks for refreshing concepts.

python tutorial

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Data, Benchmarks, and methods submitted to the M5 forecasting competition

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Code for a workshop on statistical interference using computational methods in Python.

What scientific programmers must know about CPUs and RAM to write fast code.

Reference deployment of JupyterHub and nbgrader on a single server

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

A Repository of Notebooks for the Python Lecture Site

Materials for GWU DNSC 6279 and DNSC 6290.

Visualizations based on best open science practices.

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

Project containig related material for my TensorFlow articles

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Realistic Handwriting with Tensorflow

CardIO is a library for data science research of heart signals

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

[ko] 패스트캠퍼스 강의 자료

a toolkit for working with Oxford nanopore data

Code release for "learning to find good correspondences" CVPR 2018

A fast and lightweight AutoML library.

Quantum Challenge problem sets

Coding the Machine Learning Tutorial for Learning to Learn

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

A clear, concise, simple yet powerful and efficient API for deep learning.

Ciência de Dados aplicada à pandemia do novo coronavírus.

Introduction to ML packages for the 6.86x course

This is an LSTM stock prediction using Tensorflow with Keras on top.

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

An automatic beatmap generator using Tensorflow / Deep Learning.

PyData Cookbook Project

Simple Implementation of many GAN models with PyTorch.

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

My personal notes, presentations, and notebooks on everything Deep Learning.

The BlazeFace face detector model implemented in PyTorch

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

Navigating the GAN Parameter Space for Semantic Image Editing

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

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.

NeMo: a toolkit for conversational AI

Full Stack Data Science in Python

Example Machine Learning Scripts for Numerai's Tournament

Starter files for Pluralsight course: Understanding Machine Learning with Python

fastai V2 implementation of Timeseries classification papers.

Python solutions to solve practical business problems.

Getting start with PySpark and MLlib