Naph John's starred repositories
python-patterns
A collection of design patterns/idioms in Python
ColossalAI
Making large AI models cheaper, faster and more accessible
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
text-generation-inference
Large Language Model Text Generation Inference
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
coder-kung-fu
开发内功修炼
vscode-docs
Public documentation for Visual Studio Code
practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
unidiffuser
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
nvidia-container-runtime
NVIDIA container runtime
vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
Tensorflow-MultiGPU-VAE-GAN
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
pysmilesutils
Utilities for working with SMILES based encodings of molecules for deep learning (PyTorch oriented)
RL-GraphINVENT
RL-GraphINVENT is a platform for graph-based targeted molecular generation using graph neural networks and reinforcement learning. RL-GraphINVENT uses a Gated Graph Neural Network -based model fine-tuned using reinforcement learning to probabilistically generate new molecules with desired property profiles.
RingSystems
Codes used in a cheminformatics anaysis for ring systems in natural products