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A curated list of fellowships for graduate students in Computer Science and related fields.
List of Computer Science courses with video lectures.
Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.
yichiac / Crossformer
Forked from Thinklab-SJTU/CrossformerOfficial implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Tutorial code on how to build your own Deep Learning System in 2k Lines
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
⏰ AI conference deadline countdowns
⏰ Top tier computer science conference deadline countdowns
Python package built to ease deep learning on graph, on top of existing DL frameworks.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
A repository of links with advice related to grad school applications, research, phd etc
A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).
Open CS Application | 开源CS申请
Source code for the software implementation of Sibyl proposed in our ISCA 2022 paper: Gagandeep Singh et. al., "Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems using Online …
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Repo containing code for multi-agent deep reinforcement learning (MADRL).
Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
Just playing around with the ideas from this article https://deepmind.com/blog/article/EigenGame
A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium