ankeshanand

ankeshanand's Stars

• carbon-app/carbon

  :black_heart: Create and share beautiful images of your source code

  Language:JavaScript34.7k2456771.9k

• facebookresearch/pytext

  A natural language modeling framework based on PyTorch

  Language:Python6.3k169135802

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.8k52135795

• kennethreitz/responder

  A familiar HTTP Service Framework for Python.

  Language:Python3.6k91232219

• pytorch/text

  Models, data loaders and abstractions for language processing, powered by PyTorch

  Language:Python3.5k318800812

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.7k32259355

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k61131555

• xbpeng/DeepMimic

  Motion imitation with deep reinforcement learning.

  Language:C++2.4k110186488

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k52169325

• tristandeleu/pytorch-meta

  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

  Language:Python2k44141256

• facebookresearch/higher

  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

  Language:Python1.6k28108124

• BachiLi/redner

  Differentiable rendering without approximation.

  Language:NASL1.4k43147140

• Farama-Foundation/Metaworld

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

  Language:Python1.3k29220279

• BlakeRMills/MetBrewer

  Color palette package in R inspired by works at the Metropolitan Museum of Art in New York

  Language:R1.1k71782

• sail-sg/envpool

  C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

  Language:C++1.1k23145102

• YeWR/EfficientZero

  Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

  Language:Python8764644137

• huangyz0918/moving

  A clean and minimalist theme for Jekyll.

  Language:SCSS822112689

• rdevon/DIM

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

  Language:Python8072053102

• lsw9021/MASS

  Language:Mathematica5872946111

• jannerm/mbpo

  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

  Language:Python477102383

• facebookresearch/phyre

  PHYRE is a benchmark for physical reasoning.

  Language:Python436192965

• facebookresearch/InvariantRiskMinimization

  PyTorch code to run synthetic experiments.

  Language:Python41515961

• Philip-Bachman/amdim-public

  Public repo for Augmented Multiscale Deep InfoMax representation learning

  Language:Python400111660

• mila-iqia/atari-representation-learning

  Code for "Unsupervised State Representation Learning in Atari"

  Language:Python244174751

• NVlabs/cule

  CuLE: A CUDA port of the Atari Learning Environment (ALE)

  Language:C++233183035

• tristandeleu/pytorch-maml

  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

  Language:Python232112044

• mila-iqia/spr

  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"

  Language:Python157101631

• GabPrato/batch-transforms

  Batch equivalent of PyTorch Transforms.

  Language:Python38135

• juliuskunze/cwvae-jax

  Clockwork VAEs in JAX/Flax

  Language:Python32433

• ieee8023/no-citation-page-numbers

  BST files to remove the page numbers in CITATIONS

  9201