6998 Open source projects that are alternatives of or similar to Coursera Deep Learning Specialization

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Repository for most of the code from my YouTube channel

This is an open sourced book on deep learning.

RMDL: Random Multimodel Deep Learning for Classification

Implementation of State-of-the-art Text Classification Models in Pytorch

Contains my explorations of TensorFlow 2.x

An open-source tool for sequence learning in NLP built on TensorFlow.

Sequence-to-Sequence Framework in PyTorch

A simple probabilistic programming language.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Efficient Learning of Augmentation Policy Schedules

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

Lab Materials for MIT 6.S191: Introduction to Deep Learning

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Computations and statistics on manifolds with geometric structures.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Neural network inference the Unix way

VIP cheatsheets for Stanford's CS 230 Deep Learning

Tuning hyperparams fast with Hyperband

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

A journey into Convolutional Neural Network visualization

Support content for my blog

Python library to easily log experiments and parallelize hyperparameter search for neural networks

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

🟣 Object detection of abstract shapes with neural networks

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

List of papers, code and experiments using deep learning for time series forecasting

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

HDLTex: Hierarchical Deep Learning for Text Classification

2nd Place Solution 💰🥈

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Productivity Tools for Plotly + Pandas

Breaking captchas using torch

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

Kipoi's model zoo API

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

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

A stable algorithm for GAN training

Principles of Machine Learning Python

Deep learning infrastructure for bioinformatics

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

Jupyter Notebooks with Deep Learning Tutorials