Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

Datasets, tools, and benchmarks for representation learning of code.

CodeBERTScore: an automatic metric for code generation, based on BERTScore

Long Range Graph Benchmark, NeurIPS 2022 Track on D&B

Training language models to make programs faster

AudioSample is an optimized numpy-like audio manipulation library, created for researchers, used by developers.

implementation of ICML 2018 paper, Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples

Fully batched seq2seq example based on practical-pytorch, and more extra features.

Re-implementation of "CODE2SEQ: GENERATING SEQUENCES FROM STRUCTURED REPRESENTATIONS OF CODE"

demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"