kyoungrok0517's Stars
jesseduffield/lazygit
simple terminal UI for git commands
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
pyscript/pyscript
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
espanso/espanso
Cross-platform Text Expander written in Rust
hardikvasa/google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
lucidrains/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
phoboslab/qoi
The “Quite OK Image Format” for fast, lossless image compression
tensorflow/lucid
A collection of infrastructure and tools for research in neural network interpretability.
kubeflow/pipelines
Machine Learning Pipelines for Kubeflow
huggingface/knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
microsoft/CodeBERT
CodeBERT
intel/neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
rapidsai/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
ofou/graham-essays
📚 Download the full collection of Paul Graham essays in EPUB, PDF & Markdown for easy reading.
naver/splade
SPLADE: sparse neural search (SIGIR21, SIGIR22)
microsoft/picologging
An optimized logging library for Python
scikit-learn-contrib/skope-rules
machine learning with logical rules in Python
thunlp/BERT-KPE
benedekrozemberczki/APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
harsha-simhadri/big-ann-benchmarks
Framework for evaluating ANNS algorithms on billion scale datasets.
cooelf/AwesomeMRC
IJCAI 2021 Tutorial & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)
TimSchopf/KeyphraseVectorizers
Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.
MaartenGr/Concept
Concept Modeling: Topic Modeling on Images and Text
microsoft/OpenKP
Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.
Shivanandroy/KeyPhraseTransformer
KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction
run-ai/rntop
A top-like tool for monitoring GPUs in a cluster
nielsbasjes/splittablegzip
Splittable Gzip codec for Hadoop
jfbeats/ArweaveWebWallet
The arweave.app source files
bhaveshgawri/PageRank
Implementation of PageRank algorithm along with TopicSpecific and TrustRank.
bloomberg/kbir_keybart
Experimental code used in pre-training the KBIR and KeyBART models