Nguyen Duc Nhat Y's repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models
awesome-neuro-ai-papers
Papers from the intersection of deep learning and neuroscience
best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
coder_reviewer_reranking
Official code release for the paper Coder Reviewer Reranking for Code Generation.
course-nlp
A Code-First Introduction to NLP course
Deep-learning-ML-and-tensorflow
Examples of linear regression, logistic regression, and deep learning implementations such as Transformers, gans, cnns, rnns, and more using Tensorflow. The code examples here are discussed in my books: Deep Learning Algorithms, and Getting Started with Deep Learning -->> Link.
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
exo
Exocompilation for productive programming of hardware accelerators
flashlight
A C++ standalone library for machine learning
Intro_to_Quantum_Computing
Class Slides for Introduction to Quantum Computing
llama
Inference code for genesis models
manifold
A model-agnostic visual debugging tool for machine learning
MapTR
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
MLOps
A project-based course on the foundations of MLOps with a focus on intuition and application.
MLOPs-Primer
A collection of resources to learn about MLOPs.
mlops-zoomcamp
Free MLOps course from DataTalks.Club
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
polarization
If you are a computer scientist or a physicist aspiring to become a quantum computing scientist, this list is for you. The topics include: Quantum mechanics Quantum information processing Quantum computing Quantum information theory
qtt
Quantum Technology Toolbox https://qtt.readthedocs.io/
quad-sdk
Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.
Reference-Guide-For-Quantum-Computing-A-Microsoft-Garage-Project
This repository hosts the Reference Guide for Quantum Computing, a Microsoft Garage project
Roadmap-to-QML
This repository will contain the major papers, books and blog posts on QML
SpikeGPT
Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"