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android-notes-app

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

api-samples

Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.

ark-tweet-nlp

CMU ARK Twitter Part-of-Speech Tagger

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

bayesian-methods-for-machine-learning

This repository contains Ipython notebooks from the course 'Bayesian Methods for machine learning', part 3 of Advance machine learning Specialisation offered by higher school of economics at coursera.

best_practices_deepnlp

A Repo to store articles related to Best Practices in Deep NLP

circleci--testing

comet-examples

Examples of Machine Learning code using Comet.ml

conversationmessengerintegration

cswithjames

d3visual

deep-learning-nlp

:satellite: Organized Resources for Deep Learning in Natural Language Processing

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

demo

dl_research_keras

Implementation of Latest DL Innovations mostly in Keras

doyouevenlearn

Essential Guide to keep up with AI/ML/CV/UNameIt

grok-1

Grok open release

heimdall

hoeffdingtree

Incremental classification and regression tree learning algorithm.

machinelearningblr.github.io

Home of Machine Learning Bangalore Chapter

meteor-sample-app

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

mlpack

mlpack: a scalable C++ machine learning library

models

Models and examples built with TensorFlow

my-college-work

my-first-game

Basic Platformer game created using phaser.io

my-twitter-app