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A Collection on How to Find A Job Elegantly. Timeline, Materials, Preparation, OPT & CPT Policies and so on!
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
Open CS Application | 开源CS申请
Official repo for consistency models.
jp-guo / T2TCO
Forked from Thinklab-SJTU/T2TCO[NeurIPS 2023] From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
[ICASSP 2024] GMTR: Graph Matching Transformers
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
[TMLR 2024] G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks
This is the final project for Reinforcement Learning (RL)
Awesome machine learning for combinatorial optimization papers.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
A research protocol for deep graph matching.