Pinned Repositories
align_uniform
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
bairblog.github.io
barlowtwins
PyTorch implementation of Barlow Twins.
BYOL-PyTorch
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
CCMI
Classifier based mutual information, conditional mutual information estimation; conditional independence testing
coiltraine
Training framework for conditional imitation learning
data-collector
Data collector for version 0.8.4, also contains an client side agent
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
DeepRL
Berkeley CS285 2019 homework solution
SuhongMoon's Repositories
SuhongMoon/align_uniform
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
SuhongMoon/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
SuhongMoon/bairblog.github.io
SuhongMoon/barlowtwins
PyTorch implementation of Barlow Twins.
SuhongMoon/BYOL-PyTorch
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
SuhongMoon/coiltraine
Training framework for conditional imitation learning
SuhongMoon/data-collector
Data collector for version 0.8.4, also contains an client side agent
SuhongMoon/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
SuhongMoon/DeepRL
Berkeley CS285 2019 homework solution
SuhongMoon/DIVA
Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
SuhongMoon/doc-story-generation
SuhongMoon/DUE
Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
SuhongMoon/Explanation_Quality_Eval
SuhongMoon/FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
SuhongMoon/gin-config
Gin provides a lightweight configuration framework for Python
SuhongMoon/group_DRO
Distributionally robust neural networks for group shifts
SuhongMoon/l2p
Learning to Prompt (L2P) for Continual Learning @ CVPR22
SuhongMoon/langchain
⚡ Building applications with LLMs through composability ⚡
SuhongMoon/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
SuhongMoon/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
SuhongMoon/minillm
MiniLLM is a minimal system for running modern LLMs on consumer-grade GPUs
SuhongMoon/Multi-View-Information-Bottleneck
SuhongMoon/obow
SuhongMoon/PyTorch-Universal-Docker-Template
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
SuhongMoon/scenario_runner
Traffic scenario definition and execution engine
SuhongMoon/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
SuhongMoon/vim
personal vim setting
SuhongMoon/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
SuhongMoon/vqvae
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
SuhongMoon/zero_shot_cot
Prod Env