Pinned Repositories
denoised_mdp
Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
platonic-rep
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
quasimetric-rl
Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
align_uniform
Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020
dataset-distillation
Open-source code for paper "Dataset Distillation"
moco_align_uniform
MoCo with Alignment and Uniformity Loss.
poisson_quasimetric_embedding
Open source code for paper "On the Learning and Learnability of Quasimetrics".
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
PyTorch-Reparam-Module
Reparameterize your PyTorch modules
ssnl's Repositories
ssnl/dataset-distillation
Open-source code for paper "Dataset Distillation"
ssnl/align_uniform
Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020
ssnl/PyTorch-Reparam-Module
Reparameterize your PyTorch modules
ssnl/moco_align_uniform
MoCo with Alignment and Uniformity Loss.
ssnl/poisson_quasimetric_embedding
Open source code for paper "On the Learning and Learnability of Quasimetrics".
ssnl/robodesk
RoboDesk with A Diverse Set of Distractors
ssnl/distributed_shampoo
For optimization algorithm research and development. Submodule & Py38 ready
ssnl/ssnl.github.io
Scratch book
ssnl/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
ssnl/dreamsim
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (NeurIPS 2023 Spotlight)
ssnl/LaTeXTools
LaTeX plugin for Sublime Text 2 and 3
ssnl/mbold
Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
ssnl/python-billiards
A 2D physics engine for simulating dynamical billiards.
ssnl/shortest-distance-approx-deep-learning
Implementation of the paper "Shortest Path Distance Approximation using Deep learning Techniques" (under development)
ssnl/alpaca-lora
Instruct-tune LLaMA on consumer hardware
ssnl/auto_norm
ssnl/canvas-userscripts
Various userscripts to enhance functionality in Canvas
ssnl/cifar10-airbench
94% on CIFAR-10 in 2.73 seconds 💨 96% in 27 seconds
ssnl/denoised_mdp-1
Open source code for paper "Denoised MDPs Learning World Models Better Than the World Itself"
ssnl/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
ssnl/DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
ssnl/EfficientZero
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
ssnl/MineDojo
Building Open-Ended Embodied Agents with Internet-Scale Knowledge
ssnl/pytorch.github.io
ssnl/pytorch_mppi
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
ssnl/stylegan2
StyleGAN2 - Official TensorFlow Implementation
ssnl/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
ssnl/torch-quasimetric
PyTorch Package For Quasimetric Learning
ssnl/vim-sync
Automatic sync SFTP,FTP,... for buffers in vim
ssnl/vscode-sftp
Super fast sftp/ftp extension for VS Code