Pinned Repositories
dskim10.github.io
Daesung's Blog
federated
A framework for implementing federated learning
federated-learning
Federated learning experiment using TensorFlow.js
flet
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
launchpad
mediapipe
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
ml_tutorials
machine learning tutorials
nerfies.github.io
reverb
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
seed_rl
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
dskim10's Repositories
dskim10/dskim10.github.io
Daesung's Blog
dskim10/federated
A framework for implementing federated learning
dskim10/federated-learning
Federated learning experiment using TensorFlow.js
dskim10/flet
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
dskim10/launchpad
dskim10/mediapipe
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
dskim10/ml_tutorials
machine learning tutorials
dskim10/nerfies.github.io
dskim10/reverb
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
dskim10/seed_rl
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
dskim10/serl
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
dskim10/switch-cuda
A simple bash script for switching between installed versions of CUDA.
dskim10/tf_agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
dskim10/TLaunch
Launch programs on multiple hosts.