5921 Open source projects that are alternatives of or similar to Deep Deep

Using Keras and cats to visualize layers from CNNs

Scientific analysis of nanoscale materials imaging data

Tutorials for Fall 2018

Design-of-experiment (DOE) generator for science, engineering, and statistics

Python for engineers

CS579: Online Social Network Analysis at the Illinois Institute of Technology

Repositorio del Curso de Machine Learning de la A a la Z con R y Python

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

python code for pratice

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

A repo for data science related questions and answers

This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

homework for CS231n 2017

Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Face recognition and its application as attendance system

【火炉炼AI】-机器学习系列文章

A lightweight convolutional neural network

Math formula recognition (Images to LaTeX strings)

Repositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.

A set of jupyter notebooks on pytorch functions with examples

“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

Command recognition research

Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.

A tutorial about Gaussian process regression

Code for Nature energy manuscript

Lectures for Udemy - Complete Python Bootcamp Course

NBA shot charts using matplotlib, seaborn, and bokeh.

AI实战-practicalAI 中文版

Supporting notebooks and data from hypertools paper

A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017

Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook

Machine learning fundamentals lesson in interactive notebooks

Tutorial Sessions for SciPy Con 2019

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

kaggle titanic solution

Conda environment and package management extension from within Jupyter

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

U-Net Biomedical Image Segmentation

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Developer Cheatsheets

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.