lmzintgraf

lmzintgraf's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.7k2.3k1159.9k

• zhangqianhui/AdversarialNetsPapers

  Awesome paper list with code about generative adversarial nets

  6.6k462161.9k

• niderhoff/nlp-datasets

  Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

  5.8k23411961

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.3k3452329

• ikostrikov/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).

  Language:Python3.6k66229830

• projectmesa/mesa

  Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

  Language:Python2.4k95794873

• junhyukoh/deep-reinforcement-learning-papers

  A list of recent papers regarding deep reinforcement learning

  2.2k2463555

• Farama-Foundation/Metaworld

  Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

  Language:Python1.3k29216271

• tristandeleu/pytorch-maml-rl

  Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

  Language:Python8251560158

• ikostrikov/jaxrl

  JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

  Language:Jupyter Notebook61812868

• DanielTakeshi/Paper_Notes

  This will contain my notes for research papers that I read.

  602763105

• shariqiqbal2810/maddpg-pytorch

  PyTorch Implementation of MADDPG (Lowe et. al. 2017)

  Language:Python569543129

• katerakelly/oyster

  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

  Language:Python4722231125

• facebookarchive/models

  A repository for storing pre-trained Caffe2 models.

  Language:Python4306144127

• yaoyao-liu/mini-imagenet-tools

  Tools for generating mini-ImageNet dataset and processing batches

  Language:Python4227957

• tristandeleu/ntm-one-shot

  One-shot Learning with Memory-Augmented Neural Networks

  Language:Python421291894

• awjuliani/Meta-RL

  Implementation of Meta-RL A3C algorithm

  Language:Jupyter Notebook400277109

• y0ast/Glow-PyTorch

  Simple, extendable, easy to understand Glow implementation in PyTorch

  Language:Python3763063

• marcellodebernardi/loss-landscapes

  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

  Language:Python2973652

• y0ast/deterministic-uncertainty-quantification

  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

  Language:Python26771131

• upul/Behavioral-Cloning

  Third Project of the Udacity Self-Driving Car Nanodegree Program

  Language:Python234265101

• jxhe/vae-lagging-encoder

  PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

  Language:Python18441134

• maximilianigl/DVRL

  Deep Variational Reinforcement Learning

  Language:Jupyter Notebook1338525

• avisingh599/imitation-dagger

  [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.

  Language:Python715420

• yobibyte/atarigrandchallenge

  Code for 'The Grand Atari Challenge dataset' paper

  Language:Jupyter Notebook52726

• yfletberliac/adversarially-guided-actor-critic

  AGAC: Adversarially Guided Actor-Critic

  Language:Python47438

• psrikanthm/categorical-vae

  Implement Categorical Variational autoencoder using Pytorch

  Language:Python15310

• maximilianigl/rl-iter

  Repository for Iterated Relearning: The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning

  Language:Python12302