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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 ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
This repository contains implementations and illustrative code to accompany DeepMind publications
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Kubernetes community content
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Flax is a neural network library for JAX that is designed for flexibility.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A better notebook for Scala (and more)
An Open Source text-to-speech system built by inverting Whisper.
Language-Agnostic SEntence Representations
Bayesian optimization in PyTorch
Fast and Easy Infinite Neural Networks in Python
🪼 a python library for doing approximate and phonetic matching of strings.
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Koç University deep learning framework.
Differentiable, Hardware Accelerated, Molecular Dynamics
Fast, general, and tested differentiable structured prediction in PyTorch
Gaussian Process Optimization using GPy
DeepSurv is a deep learning approach to survival analysis.
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
A Julia package for Gaussian Processes
An OCaml kernel for Jupyter (IPython) notebook
Understanding Training Dynamics of Deep ReLU Networks
Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)