phillipi

phillipi's Stars

• NVlabs/stylegan3

  Official PyTorch implementation of StyleGAN3

  Language:Python6.4k552551.1k

• zubair-irshad/Awesome-Implicit-NeRF-Robotics

  A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

  1.2k76176

• xl0/lovely-tensors

  Tensors, for human consumption

  Language:Jupyter Notebook1.1k102215

• pix2pixzero/pix2pix-zero

  Zero-shot Image-to-Image Translation [SIGGRAPH 2023]

  Language:Python1.1k332981

• PufferAI/PufferLib

  Simplifying reinforcement learning for complex game environments

  Language:Python1k51042

• Lux-AI-Challenge/Lux-Design-S2

  Repository for the Lux AI Challenge, season 2 (NeurIPS 23). Hosted on @kaggle

  Language:Jupyter Notebook40516121145

• ssundaram21/dreamsim

  DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (NeurIPS 2023 Spotlight)

  Language:Python345111815

• carolineec/informative-drawings

  Unpaired line drawing generation

  Language:Python337101947

• martius-lab/blackbox-backprop

  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

  Language:Python33413738

• google-research/syn-rep-learn

  Learning from synthetic data - code and models

  Language:Python29411813

• hjbahng/visual_prompting

  Exploring Visual Prompts for Adapting Large-Scale Models

  Language:Python2603730

• LijieFan/LaCLIP

  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"

  Language:Python251877

• chail/anyres-gan

  Language:Python246361014

• google/explaining-in-style

  Language:Jupyter Notebook2208328

• yenchenlin/nerf-supervision-public

  Language:Python206101018

• f3rm/f3rm

  F3RM: Feature Fields for Robotic Manipulation. Official repo for the paper "Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation" (CoRL 2023).

  Language:Python18181517

• facebookresearch/denoised_mdp

  Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"

  Language:Python1331361311

• NVlabs/stylegan3-detector

  125928

• jxbz/modula

  Scalable neural net training via automatic normalization in the modular norm.

  Language:Jupyter Notebook108417

• minyoungg/vqtorch

  Language:Python104469

• hertzmann/painterJava

  Painterly Rendering from SIGGRAPH 98 paper (Java version)

  Language:Java72304

• kvfrans/powderworld

  Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions

  Language:Python63517

• minyoungg/LTE

  Language:Python61328

• ToruOwO/marl-ae-comm

  PyTorch implementation for all models and environments in the paper "Learning to Ground Multi-Agent Communication with Autoencoders"

  Language:Python432210

• quasimetric-learning/quasimetric-rl

  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023

  Language:Python42305

• quasimetric-learning/torch-quasimetric

  PyTorch Package For Quasimetric Learning

  Language:C++38312

• ssnl/poisson_quasimetric_embedding

  Open source code for paper "On the Learning and Learnability of Quasimetrics".

  Language:C++32201

• MIT-AI-Accelerator/multiearth-challenge

  Repository for the MultiEarth 2023 public challenge.

  Language:Python29724

• jingweim/totems

  Language:Jupyter Notebook102

• swamiviv/generative_semantic_uncertainty

  5101