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Starred repositories
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
Code release for SLIP Self-supervision meets Language-Image Pre-training
A pythonic CANopen application framework for all OreSat Linux boards
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Proces…
A mix of GAN implementations including progressive growing
C++ convenience class to communicate with a Matlab instance. Send matrices back and forth, execute arbitrary Matlab commands, or drop into interactive Matlab session right in the middle of your C++…
Amazon - Understanding Product Images
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Repo for Yale Applied Empirical Methods PHD Course
This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating tho…
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Probabilistic programming via source rewriting
Tidy data frames and expressions with statistical summaries 📜
A collection of Bayesian data analysis recipes using PyMC3
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
A python tutorial on bayesian modeling techniques (PyMC3)
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/…
Analyzing basic network responses to novel classes
Implementation of deep implicit attention in PyTorch