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ai-and-data-science-reference

Get a compiled and upto-date list of best blogs, websites , papers and repositories for a wide range of topics in Data science and Artificial Intelligence

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

applications-of-hypernetworks

applications-of-optimal-stopping-algorithm-for-social-graph-based-recommendation

Recommendation Systems are becoming one of the most used tools in online marketing. In this paper, basic item based recommendation algorithms were extended to make use of a user’s social circle’s influence in deciding the recommendations. Depending on the social network of a user, the items to be recommended were selected. Apart from this, his own previous ratings of movies were considered to get an assessment of his taste and this was added up to this ego-network’s preferences to get a list of recommendations. An optimal stopping algorithm was then implemented on top of this recommendation system. This algorithm helped us pick users better from the ego-network. In the end, a general recursive optimal stopping algorithm is proposed, providing an efficient way to search for best set of users to recommend movies from throughout the social network.

awesome-deep-learning-papers

The most cited deep learning papers

bash-compiler

A basic compile time interface for BASH shell and command language

basic-railway-reservation-system

Used Concepts of data structures : Linked lists, stacks Queues, to build a basic Railway Reservation System in C Programming language.

bayesianlstm

Bayesian LSTM (Tensorflow)

data-structures-algorithms-and-solutions-to-common-coding-challenges

My implementations of Data Structures, Algorithms and Solutions to common coding challenges. I have mostly used C++ everywhere. Open to suggestions and criticism

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reasoning-papers

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

dileepagit.github.io

graph-embedding-based-recommendation

gru-d

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

gru-d-keras

GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings

hands_on_ml_practice

Practicing basic ML, DL and RL algorithms

hello-world

My first repository

image-classification-and-localization

Image classifier for the VOC-2010 Dataset with and without Transfer Learning. Deep Convolutional Networks were used for classification and localization.

imagenet-autoencoder

AutoEncoder trained on ImageNet

interpretable_models

General library for implementing ML models and performing numerous interpretation of model features, data attributes, input and output data.

jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

k-diffusion

Karras et al. (2022) diffusion models for PyTorch

library

application of library

library-database-with-user-interface.

Here is a library I and my friend created. It uses open source postgreSQL DBMS along with JDBC software to give a perfect user interface as a localhost. PHP can be used to host it on a globalhost network.

linenoise

A small self-contained alternative to readline and libedit

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

minigrid

Simple and easily configurable grid world environments for reinforcement learning

mrl

Code repository for the paper - "Matryoshka Representation Learning"

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nocode.ai

# nocode.ai A User-Friendly platform to develop Machine Learning Models