Schedule-Free Optimization in PyTorch
APACHE-2.0 License
A unified framework for 3D content generation.
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
Use scipy.optimize.minimize as a PyTorch Optimizer.
Train fastai models faster (and other useful tools)
Starter kit for the black box optimization challenge at Neurips 2020
Software Architecture for ML engineers
Time series forecasting with PyTorch
Train TensorFlow Keras models with cosine annealing and save an ensemble of models with no additi...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Ar...
Hyperbolic Learning Rate Scheduler
ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning mod...
Message Passing Neural Networks for Molecule Property Prediction