yuq-1s

emergent-language

An implementation of Emergence of Grounded Compositional Language in Multi-Agent Populations by Igor Mordatch and Pieter Abbeel

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

MUSE

A library for Multilingual Unsupervised or Supervised word Embeddings

Obj-GAN

Obj-GAN - Official PyTorch Implementation

TextFlow

exploration-by-disagreement

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

MultimodalGame

luckmatters

Understanding Training Dynamics of Deep ReLU Networks

dippl

The Design and Implementation of Probabilistic Programming Languages

probmods2

probmods 2: electric boogaloo

mrcl

Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

StanfordDoggoProject

Stanford Doggo is an open source quadruped robot that jumps, flips, and trots!

Neural-Ordinary-Differential-Equations

Sample implementation of Neural Ordinary Differential Equations

deterministic-variational-inference

Sample code for running deterministic variational inference to train Bayesian neural networks

DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

SJTUThesis

上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template

neural-processes

PyTorch implementation of Neural Processes

neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

dataset-distillation

Open-source code for paper "Dataset Distillation"

causal-infogan

urnng

few-shot

Repository for few-shot learning machine learning projects

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

RandWireNN

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

GPflow

Gaussian processes in TensorFlow

meta-dataset

A dataset of datasets for learning to learn from few examples

FBNN

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

code-server

VS Code in the browser

prioritized_dci_cuda