List of github repositories with important/useful work materials
-
teaching-IR:
$~~~~~~~~~~$ Open-Source Information Retrieval Courses @ TU Wien https://github.com/sebastian-hofstaetter/teaching -
hands-on-nltk-tutorial:
$~~~~~~~~~~~$ The hands-on NLTK tutorial for NLP in Python https://github.com/davidiommi/hands-on-nltk-tutorial -
information-retrieval-2:
$~~~~~~~~~~~$ Neural information retrieval / semantic-search / Bi-Encoders https://github.com/davidiommi/information-retrieval-2 -
NLP-IN-PRACTICE:
$~~~~~~~~~~~$ Starter code to solve real world text data problems. https://github.com/davidiommi/nlp-in-practice -
Transformers-for-NLP-2nd-Edition:
$~~~~~~~~~~~$ Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models https://github.com/davidiommi/Transformers-for-NLP-2nd-Edition -
NLP-Coursera:
$~~~~~~~~~~$ https://github.com/davidiommi/Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization -
transformers-tutorials:
$~~~~~~~~~~~$ Github repo with tutorials to fine-tune transformers for diff NLP tasks https://github.com/davidiommi/transformers-tutorials -
Text-Mining-Course:
$~~~~~~~~~~~$ Course Notes for Text Mining - Prof. Peter Organisciak https://github.com/davidiommi/Text-Mining-Course -
Generative_AI_LLMs:
$~~~~~~~~~~~$ Coursera course on LLM and G_AI https://github.com/davidiommi/Generative_AI_LLMs/tree/main
- _Diffusion-tutorials:
$~~~~~~~~~~~$ https://www.youtube.com/watch?v=i2qSxMVeVLI&ab_channel=Jia-BinHuang (math video), https://github.com/dome272/Diffusion-Models-pytorch, https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ - _Diffusion4NLP-Papers:
$~~~~~~~~~~~$ https://github.com/IndexFziQ/Diffusion4NLP-Papers?tab=readme-ov-file#diffusion4nlp-papers
-
graph4nlp:
$~~~~~~~~~~~$ Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. https://github.com/davidiommi/graph4nlp -
nanoGPT:
$~~~~~~~~~~~$ The simplest, fastest repository for training/finetuning medium-sized GPTs. https://github.com/davidiommi/nanoGPT -
ng-video-lecture:
$~~~~~~~~~~~$ Code created in the Neural Networks: Zero To Hero video lecture series, specifically on nanoGPT https://github.com/davidiommi/ng-video-lecture -
rake-nltk:
$~~~~~~~~~~~$ Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK. https://github.com/davidiommi/rake-nltk - https://github.com/qingsongedu/time-series-transformers-review time-series-transformers-review
- Deep Reinforcement Learning Nanodegree: https://github.com/udacity/deep-reinforcement-learning
- reinforcement-learning: https://github.com/dennybritz/reinforcement-learning
- Deep_reinforcement_learning_Course: https://github.com/simoninithomas/Deep_reinforcement_learning_Course