demonbibi's repositories
AI-System
System for AI Education Resource.
archwalker.github.io
My personal website
blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
causalml
Uplift modeling and causal inference with machine learning algorithms
CLIP4Clip
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
CML
The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
CS-Notes
我的自学笔记，终身更新，当前专注System基础、MLSys。
DeepLearningSystem
Deep Learning System core principles introduction.
DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
DiffRec
Diffusion Recommender Model
ENMF
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
gensim
Topic Modelling for Humans
GNN-in-RS
GNN in Recommendation System (ACM Computing Surveys 2022)
how-to-learn-deep-learning-framework
how to learn PyTorch and OneFlow
how-to-optim-algorithm-in-cuda
how to optimize some algorithm in cuda.
How_to_optimize_in_GPU
This is a series of GPU optimization topics. Here we will introduce how to optimize the program on the GPU in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
keras
Deep Learning for humans
NeMo-Megatron-Launcher
NeMo Megatron launcher and tools
product-nets
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
SDM
Sequential deep matching model for recommender system at alibaba.
sonnet
TensorFlow-based neural network library