only-changer's Stars
facebookresearch/codellama
Inference code for CodeLlama models
huggingface/trl
Train transformer language models with reinforcement learning.
skypilot-org/skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
ccfddl/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Impostor/Impostor
Impostor - An open source reimplementation of the Among Us Server
davidmrau/mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
GFNOrg/gflownet
Generative Flow Networks
Thinklab-SJTU/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Thinklab-SJTU/pygmtools
A Python Graph Matching Toolkit.
cuayahuitl/SimpleDS
A Simple Deep Reinforcement Learning Dialogue System
dvlab-research/ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions
The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.
epfml/federated-learning-public-code
Edward-Sun/DIFUSCO
Code of NeurIPS paper: arxiv.org/abs/2302.08224
Thinklab-SJTU/awesome-ai4eda
Awesome Artificial Intelligence for Electronic Design Automation Papers.
fedebotu/clone-anonymous-github
Easily download anonymous Github repositories from https://anonymous.4open.science/ with a GUI interface
Thinklab-SJTU/awesome-molecular-docking
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
PL-ML/code2inv
Code2Inv: Learning Loop Invariants for Program Verification
SaswatPadhi/LoopInvGen
Generates loop invariants for program verification
zdhNarsil/GFlowNet-CombOpt
PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".
CIAM-Group/NCO_code
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Thinklab-SJTU/T2TCO
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
RoyalSkye/Omni-VRP
[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
guolong-zheng/sling
Thinklab-SJTU/awesome-ml4tpp
Awesome machine learning for temporal point processes papers.
Thinklab-SJTU/ROCO
Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs".
mit-wu-lab/learning-to-configure-separators
[NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
MortezaRamezani/llcg
Source code for Learn Locally Correct Globally
jihwan-jeong/xaddpy
mbp28/learning2cut
Reinforcement Learning for Cut Selection
Thinklab-SJTU/awesome-hpo
hpo update