7428 Open source projects that are alternatives of or similar to 50 Days Of Ml

How to use TensorFlow

Material for the tutorial: "Deep Diving into GANs: from theory to production"

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

top 1% solution to toxic comment classification challenge on Kaggle.

Tutorials for the Astropy Project

The Los Angeles Times' independent tally of coronavirus cases in California.

Visualizer for pandas data structures

Learn OpenCV : C++ and Python Examples

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Jupyter notebooks from the scikit-learn video series

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Tutorial on GANs

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

Deep Learning Zero to All - Pytorch

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Deep Learning / NLP tutorial for Chatbot Developers

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Food detection and recommendation with deep learning

Kaggle Struggle

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Quick, visual, principled introduction to pytorch code through five colab notebooks.

Tutorials for deep learning

Using Project Jupyter for data science.

An implementation of "mixup: Beyond Empirical Risk Minimization"

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Примеры для курса "Программирование глубоких нейронных сетей на Python"

📊📉Embed Plotly Dash into your Flask applications.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Code, Notebooks and Examples from Practical Business Python

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Training Diary

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Deep Learning Zero to All - Tensorflow

A Deep Learning based project for colorizing and restoring old images (and video!)

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

PyQt5中文教程

Auxiliary Classifier Generative Adversarial Networks in Keras

oneAPI Deep Neural Network Library (oneDNN)

Python tutorials for introduction to machine learning

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

This hacktoberfest project exists to help you submit your first Pull Request and welcome you to the world of open source!

Exploration of methods for coloring t-SNE.

Home for Elasticsearch examples available to everyone. It's a great way to get started.

🔥 Native Firebase Expo App (iOS, Android) Demo for Firestore, Notifications, Analytics, Storage, Messaging, Database 🚨

OneFlow is a performance-centered and open-source deep learning framework.

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Example of "biological" learning for MNIST

Traffic Graph Convolutional Recurrent Neural Network

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Various Notebooks for Lernapparat.de

Deep learning codes and projects using Python

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo