pinxuezhao's Stars
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
PKU-GeekGame/geekgame-1st
illinois-cs241/coursebook
Open Source Introductory Systems Programming Textbook for the University of Illinois
Zce1112zslx/ChID_baseline
计算语言学22-23学年秋季学期 课程大作业baseline实现
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
mathiasuy/Soluciones-Klenberg
Algorithm Design (Kleinberg Tardos 2005) - Solutions
DSKSD/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
snuc/poj
PKU JudgeOnline Accepted Source Code
keithyin/read-pytorch-source-code
pytorch源码阅读 0.2.0 版本
davidbau/how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
sbrhss/d2l_pytorch_cpp
Dive to Deep Learning with Pytorch C++ API
Xtremilicious/projectlearn-project-based-learning
A curated list of project tutorials for project-based learning.
nict-wisdom/rannc
RaNNC is an automatic parallelization middleware used to train very large-scale neural networks.
msr-fiddle/dnn-partitioning
msr-fiddle/harmony
google-research/bert
TensorFlow code and pre-trained models for BERT
wuchong/awesome-flink
😎 A curated list of amazingly awesome Flink and Flink ecosystem resources
matrixcascade/PainterEngine
PainterEngine is a application/game engine with software renderer,PainterEngine can be transplanted to any platform that supports C
ZhenbangYou/University-Application--Computer-Science-Graduates-
spencertipping/jit-tutorial
How to write a very simple JIT compiler
mengning/mykernel
mykernel 2.0: Develop your own OS kernel by reusing Linux infrastructure, based on x86-64/Linux Kernel 5.4.34.
eliben/luz-cpu
Educational open-source CPU suite (with assembler, linker and simulator)
jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
iidsample/pytorch_distributed_experiments
Experiments with communication collectives
rentainhe/pytorch-distributed-training
Simple tutorials on Pytorch DDP training
arjun024/mkernel
A minimalist kernel
arjun024/memalloc
A simple memory allocator - Memory allocation 101
alpa-projects/alpa
Training and serving large-scale neural networks with auto parallelization.