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ai_all_resources

A curated list of Best Artificial Intelligence Resources

causalml

Uplift modeling and causal inference with machine learning algorithms

cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep_forecasting-usu

GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry

dragon

[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining

fast-transformers

Pytorch library for fast transformer implementations

forecasting

greaselm

[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

machine_learning-usu

Github repository for machine learning course owned and maintained by prof. Jahangiry

makemore

An autoregressive character-level language model for making more things

mhgrn

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

ml-usu-sp21

ECN 5090- Machine Learning in Economics and Finance (Python)

ng-video-lecture

nn-zero-to-hero

Neural Networks: Zero to Hero

platforms-and-tools

GitHub repository for some ML and DL platforms: Python Crash Course, Google Colab, VScode, PyCaret, Tensorflow, Pytorch, Huggingface

pystatsml

Statistics and Machine Learning in Python

qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

text-generation-webui

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, OPT, and GALACTICA.

transformer_tutorial

Tutorial for Transformer Architecture in Neural Networks