jiahaoyao Goto Github PK

alpa

Auto parallelization for large-scale neural networks

awesome-ray

Ray - A curated list of resources: https://github.com/ray-project/ray

babydeepmdpytorch

Light weight version of Deep MD written in pytorch

brc-slurm

This is the manual for the head start at berkeley research computing cluster

ceciliavision

cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

code-server

VS Code in the browser

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

dash-extension

compiled dash

dash_cytoscape

dash cytoscape

dash_interactive_graphviz

dash interactive graphviz

deepks-kit

a package for developing machine learning-based chemically accurate energy and density functional models

deepreinforcementlearning

Assignments for CS294-112.

deepstriving

Deep Learning Algorithms in Practice

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

flax

Flax is a neural network library for JAX that is designed for flexibility.

gmm-torch

Gaussian mixture models in PyTorch.

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jiahaoyao

lightning

The most intuitive, flexible, way for researchers, ML engineers and data scientists to build models (with PyTorch) and ML systems for the ML lifecycle with an obsessive focus on flexibility and performance.

markdowngenerator

Swift library to programmatically generate Markdown output and files

mesa-safe-rl

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

ncsnv2

The official PyTorch implementation for NCSNv2

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

nlp-paper-reading

Paper reading notes from Kakao Brain's NLP team.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.