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

Computer Vision: From 3D Reconstruction to Recognition

DePy 2015 Talk

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

Benchmark of different ML algorithms on Criteo 1TB dataset

TFeat descriptor models for BMVC 2016 paper "Learning local feature descriptors with triplets and shallow convolutional neural networks"

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Object classification with CIFAR-10 using transfer learning

My notes for Tim Roughgarden's awesome course on Algorithms and his 4 part books

Implementation of Hierarchical Attention Networks in PyTorch

An Interactive Introduction to Fourier Transforms

Collection of useful notebooks and snippets

Pytorch Implementation of recent visual attribution methods for model interpretability

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

Multi Label text classification using bert

Sources codes for: Mastering Python for Finance, Second Edition

A Dutch RoBERTa-based language model

Code repo for Learning Data Mining with Python, published by Packt Publishing

I use this repository for my Youtube channel where I share videos about Artificial Intelligence. The repository includes Machine Learning, Deep Learning, and Reinforcement learning's code.

The repository provides usefull python scripts for ML and data analysis

Fit 3DMM to front and side face images simultaneously.

Udacity 2018 Machine Learning Nanodegree Capstone project

Built for //BUILD 2017; this repo contains 15 minutes code challenges across data platform and analytics. Inclusive of; SQL Server on Linux, Azure SQL Database, Azure DocumentDB, Azure Search, HDInsight, MySQL as a Service, PostgreSQL as a Service, Bot Framework, Python Tools for Visual Studio, R Tools for Visual Studio. Get challenged, learn new stuff, fork the repo, contribute to the repo, and get a sneak peak the exciting world of Microsoft products and services.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Tutorial on topic models in Python with scikit-learn

A streamlined library for getting historical financial price data, fundamental data, and financial ratios.

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Interactive Azure Sentinel Notebooks provides security insights and actions to investigate anomalies and hunt for malicious behaviors.

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Deep Learning experiments for audio classification

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Baselines for the Image Matching Benchmark and Challenge

PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.

This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube

PyData 2018 tutorial for tidying data

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本

Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements

Code for creating a dataset of MIDI ground truth

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

A R/Shiny app for interactive RNN tensorflow models

neural networks to learn Koopman eigenfunctions

The open source repository for the Kaggle Amazon forest devastation competition https://www.kaggle.com/c/planet-understanding-the-amazon-from-space

Python code for various NLP metrics

Repo of Files for Python Narrative Journey Course

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

Introduction to Python for Data Science for PyCon 2018

MXNet Tutorial for NVidia GTC 2016.

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Gumbel-Softmax Variational Autoencoder with Keras

An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars