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Name: AJ
Type: User
Name: AJ
Type: User
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
This repository contains tutorial for Deepfake Avatar and link to Colab Notebook
Course Files for Complete Python 3 Bootcamp Course on Udemy
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 175 universities.
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
DeepFaceLab is the leading software for creating deepfakes.
The entmax mapping and its loss, a family of sparse softmax alternatives.
Factorization Machine for regression and classification
This repository contains the source code for the paper First Order Motion Model for Image Animation
:zap: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
GANs in slanted land
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk
RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Deep Learning for humans
LeetCode
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Worked examples about manifold learning using sklearn and jupyter
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
Training neural models with structured signals.
Neural Collaborative Filtering
Neural Graph Collaborative Filtering, SIGIR2019
Efficient Image Captioning code in Torch, runs on GPU
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A Python implementation of Larry's famous PageRank algorithm.
Play with neural networks!
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.