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A low-power E-Paper weather display powered by an ESP32 microcontroller. Utilizes the OpenWeatherMap API.
Code for "Real3D: Scaling Up Large Reconstruction Models with Real-World Images"
Supercharge huggingface transformers with model parallelism.
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
A course in reinforcement learning in the wild
A tool for refurbishing and modernizing Python codebases
Latex code for making neural networks diagrams
Probably the best curated list of data science software in Python.
Self-contained, minimalistic implementation of diffusion models with Pytorch.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
A novel approach for synthesizing tabular data using pretrained large language models
Time series forecasting with machine learning models
Generate massive amounts of fake data in the browser and node.js
A collection of resources and papers on Diffusion Models
trying to obtain uncertainties from training accuracies using timm
📖 A collection of pure bash alternatives to external processes.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Computer Vision and Pattern Recognition, NUS CS4243, 2022
[ICCV 2023] You Only Look at One Partial Sequence
A simple probabilistic programming language.
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
A system to flag anomalous source code expressions by learning typical expressions from training data