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edward2

A lightweight probabilistic programming language in NumPy or TensorFlow.

energy_based_generative_models

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

fnp

Implementation of the Functional Neural Process models

fractional-sde-net

gan-metrics

An empirical study on evaluation metrics of generative adversarial networks.

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

gaussian_mixture_models

This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

global-convolutional-neural-processes

Code for [ICDM 21' Paper](https://arxiv.org/abs/2109.00691)

google-research

Google AI Research

gpy

Gaussian processes framework in python

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

grok-1

Grok open release

harmonyos

A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。

heatmap

hello-world

Just another repository

heteroscedasticdropoutuncertainty

Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.

hicmd

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

inception-score-pytorch

Inception Score for GANs in Pytorch

inkpca

Incremental kernel PCA

inkpca_with_nystrom_approximation

interpret

Fit interpretable models. Explain blackbox machine learning.

ipvi-dgp

Implicit Posterior Variational Inference for Deep Gaussian Process (NeurIPS 2019, spotlight)

iv_rl

IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation