ashishgaurav13

puter

🌐 The Internet OS! Free, Open-Source, and Self-Hostable.

joplin

Joplin - the privacy-focused note taking app with sync capabilities for Windows, macOS, Linux, Android and iOS.

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

NTS-NOTEARS

Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Omega.jl

Causal, Higher-Order, Probabilistic Programming

irl-maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

NPEET

Non-parametric Entropy Estimation Toolbox

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

randomfun

Notebooks and various random fun

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

planet

Learning Latent Dynamics for Planning from Pixels

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

ppocma

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

vgg-cifar100

A Tensorflow implementation of VGG-16 trained on CIFAR-100

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

pixel-cnn-pp

Pytorch Implementation of OpenAI's PixelCNN++

os-tutorial

How to create an OS from scratch

torchsummaryX

torchsummaryX: Improved visualization tool of torchsummary

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-ddpg-naf

Implementation of algorithms for continuous control (DDPG and NAF).