itswyri's Stars
zen-browser/desktop
🌀 Experience tranquillity while browsing the web without people tracking you!
Mikubill/sd-webui-controlnet
WebUI extension for ControlNet
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
hindupuravinash/the-gan-zoo
A list of all named GANs!
jupyterlab/jupyterlab
JupyterLab computational environment.
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
lllyasviel/IC-Light
More relighting!
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
jcjohnson/pytorch-examples
Simple examples to introduce PyTorch
sjchoi86/Tensorflow-101
TensorFlow Tutorials
daavoo/pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
mind/wheels
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
SeungyounShin/Llama2-Code-Interpreter
Make Llama2 use Code Execution, Debug, Save Code, Reuse it, Access to Internet
sjchoi86/advanced-tensorflow
Little More Advanced TensorFlow Implementations
iamNCJ/DiLightNet
Official Code Release for [SIGGRAPH 2024] DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
sbarratt/torch_interpolations
Interpolation routines in Pytorch.
rllab-snu/Deep-Reinforcement-Learning
Introduction to Deep Reinforcement Learning
rllab-snu/tsallis_actor_critic_mujoco
Implementation of Tsallis Actor Critic method
panzi/blender_ipython
Run IPython in the context of Blender's embedded Python interpreter.
sjchoi86/yet-another-gpt-tutorial
rllab-snu/soft_action_particle_method
rllab-snu/Autonomous-Driving
List of our studies related to autonomous driving
rllab-snu/Robotics-and-Computer-Vision
List of our studies about robotics and computer vision which do not overlap with previous topics
rllab-snu/Reinforcement-Learning
List of our studies related to reinforcement learning
rllab-snu/Deep-Learning
List of our studies related to deep learning
SeungyounShin/Past-as-a-Guide
Project Page of "Past as a Guide: Leveraging retrospective learning for Python code completion"