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3d-resources

9x9-tic-tac-toe

ai-geeks-meetup

Contains Source Codes and resources for ML topics discussed in AI Geeks meetups

ai-utilities

artificial-intellligence

Adhoc codes while walking in the branches of AI

attention-based-aspect-extraction

Code for unsupervised aspect extraction, using Keras and its Backends

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesomeanalytics

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic_reinforcement_learning

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

blog

Public repo for HF blog posts

database

A test repo.

datascienceportfolio

This repository will contain all the awesome Data Science and Machine Learning Projects I will work on

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deeplearning.ai

Some work of Andrew Ng's course on Coursera

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

distilbert

Finetune and predict - Text classification (multiclass and multilabel) using DistilBert

distilgpt2-tutorial

dummypy

gazetracking

👀 Webcam-based Eye Tracking system

googlehistorytopicmodeling

Understand yourself using Topic Modelling on your Google Search History data

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

kaggle-titanic

Running Classifiers On Titanic Data

lab

A customisable 3D platform for agent-based AI research

lectures

Oxford Deep NLP 2017 course

lime

Lime: Explaining the predictions of any machine learning classifier