6448 Open source projects that are alternatives of or similar to Tutorials

A course in reinforcement learning in the wild

😺 Running Hashcat on Google Colab with session backup and restore.

Deep Learning (with PyTorch)

This is the code for "A Guide to Building Your First Decentralized Application" by Siraj Raval on Youtube

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

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Image augmentation library in Python for machine learning.

Machine Learning

DeepLearning.ai课程学习Jupyter Notebook作业

✨ The extension for Altair, matplotlib, and Plotly animations

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

An introduction to data science using Python and Pandas with Jupyter notebooks

Solve captcha without manually labeling a training set

Native Python WFDB package

A collection of deep learning tutorials using Tensorflow and Python

skimage-tutorials: a collection of tutorials for the scikit-image package.

Companion repository for the book Building Machine Learning Powered Applications

Book and code for Think Complexity, 2nd edition

SQL Server Workshops

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

Person Re-ranking (CVPR 2017)

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Coursera/Stanford Machine Learning course assignments in python

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

Working with and analyzing Wikipedia Data

Fruits-360: A dataset of images containing fruits and vegetables

Named Tensor implementation for Torch

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Completed the CS231n 2017 spring assignments from Stanford university

《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

https://habr.com/ru/post/276725/

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Abuse of Google Colab for cracking hashes. 🐧

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Course repo for Applied Natural Language Processing (Spring 2019)

An example of doing MovieLens recommendations using triplet loss in Keras

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Train a state-of-the-art yolov3 object detector from scratch!

VERIS Community Database

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Deep Learning for Coders, 2020, the website

Face Renderer to perform Domain (Face) Specific Data Augmentation

Google Brain AutoML

A guide to document clustering in Python

Data & Code for my video on the Pandas library of Python

Making carbon footprint data available to everyone.

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Open solution to the Home Credit Default Risk challenge 🏡

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation