Stars
The ArXiv Atlas is a web-based tool that visualizes research papers from the ArXiv repository, enabling users to explore and discover connections between papers through an interactive map and receiβ¦
COLMAP - Structure-from-Motion and Multi-View Stereo
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Superduper: build end-2-end AI applications and templates using your existing data infrastructure and tools of choice
Examples and guides for using the OpenAI API
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
High-performance TensorFlow library for quantitative finance.
All natural pine, faux fur and a bit of soho vibes for the classy minimalist
Curated list of open source tooling for data-centric AI on unstructured data.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1
Notebooks about Bayesian methods for machine learning
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
A collection of resources and papers on Diffusion Models
LAVIS - A One-stop Library for Language-Vision Intelligence
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
A complete computer science study plan to become a software engineer.
π Path to a free self-taught education in Computer Science!
Master the command line, in one page
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
A book series on JavaScript. @YDKJS on twitter.
π Algorithms and data structures implemented in JavaScript with explanations and links to further readings
π Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production