Albert Zou's repositories
aces-dev
AMPAS Academy Color Encoding System Developer Resources
BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
fmt
A modern formatting library
imgui
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
imgui-node-editor
Node Editor built using Dear ImGui
llama.cpp
Port of Facebook's LLaMA model in C/C++
llama3
The official Meta Llama 3 GitHub site
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
MagiskOnWSA
Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)
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.
moco-v3
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
nlopt
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
oneflow
OneFlow is a performance-centered and open-source deep learning framework.
openexr
The OpenEXR project provides the specification and reference implementation of the EXR file format, the professional-grade image storage format of the motion picture industry.
PlotNeuralNet
Latex code for making neural networks diagrams
ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
PyInstaller-Perfect-Build-Method
如果我要写一个 Python 项目，打包成 exe 运行（方便在没有 Python 的电脑上使用），我需要打包出的根目录结构美观，没有多余的、杂乱的依赖文件在那里碍眼，而且需要在发现 bug 时，我还需要能够修改里面的代码后，无需再次打包，就能正常运行，该怎么做呢？ 就以一个 Hello 项目为例，记一下我找到的完美方法。
SCORE
A Self-Consistent Robust Error
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
uVkCompute
A micro Vulkan compute pipeline and a collection of benchmarking compute shaders