kduxin's Stars
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
maybe-finance/maybe
The OS for your personal finances
google-deepmind/alphafold
Open source code for AlphaFold 2.
google-deepmind/sonnet
TensorFlow-based neural network library
skygragon/leetcode-cli
A cli tool to enjoy leetcode!
facebookresearch/fairscale
PyTorch extensions for high performance and large scale training.
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
google-deepmind/mathematics_dataset
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
terrifyzhao/bert-utils
一行代码使用BERT生成句向量,BERT做文本分类、文本相似度计算
calebwin/emu
The write-once-run-anywhere GPGPU library for Rust
PaddlePaddle/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
google-deepmind/jraph
A Graph Neural Network Library in Jax
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
google-deepmind/chex
j178/leetgo
Best LeetCode friend for geek. :snowboarder:
google-deepmind/clrs
microsoft/causica
clearloop/leetcode-cli
May the code be with you 👻
NVIDIA/JAX-Toolbox
JAX-Toolbox
google-deepmind/jmp
JMP is a Mixed Precision library for JAX.
sulc/tfrecord-viewer
TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.
XiaoxinHe/neurips2023_learning_on_graphs
List of papers on NeurIPS2023
ec6dde01667145e58de60f864e05a4/CausalOptimizationAnon
microsoft/csuite
CSuite: A Suite of Benchmark Datasets for Causality
faisal-shohag/leetcode_api
A working node js api. Specially with submission calendar.
enlighten0707/Symbol-LLM
Code for NeurIPS2023 Paper "Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning"
ssun32/CLIRMatrix
jkminder/SALSA-CLRS
Implementation of "SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning". SALSA-CLRS is an extension to the original clrs package, prioritizing scalability and the utilization of sparse representations. It provides pytorch based PyG datasets and dataloaders.
DSL-Lab/clrs
acmi-lab/local-causal-discovery
Code for the paper "Local Causal Discovery for Estimating Causal Effects".