g-mixup. [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification
105NeuACF. Implementation of paper Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks
32fair_fairness_benchmark. FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
31academic-homepage-typst. CSS
27G2R. [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
26mini-r1-zero. Python
20new_metric_for_demographic_parity. [TMLR] Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity
7mini-llm-pretraining. Python
5flash-attention-x. Python
5GraphConv_is_Mixup. [TMLR] On the Equivalence of Graph Convolution and Mixup
4LLMsPracticalGuide.
3typst-TMLR. Typst
3leetgpu_solutions. Cuda
2scaling-test-time-compute-reproduce. Python
2yodo. Python
2llm.c. LLM training in simple, raw C/CUDA
1mini-torch. Python
1modded-nanogpt. NanoGPT (124M) quality in 2.67B tokens
1self-attentive-ncf. Source code for our Paper "Self-Attentive Neural Collaborative Filtering"
1ahxt.github.io. HTML
1academic-homepage-ai-native. CSS
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