joonhwanhur's Stars
triton-lang/triton
Development repository for the Triton language and compiler
microsoft/Samba
Official implementation of "Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling"
black-forest-labs/flux
Official inference repo for FLUX.1 models
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
cedrickchee/awesome-ml-model-compression
Awesome machine learning model compression research papers, quantization, tools, and learning material.
HazyResearch/ThunderKittens
Tile primitives for speedy kernels
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
rapidsai/cugraph
cuGraph - RAPIDS Graph Analytics Library
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
akelleh/causality
Tools for causal analysis
huggingface/deep-rl-class
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
google-research/recsim
A Configurable Recommender Systems Simulation Platform
lucidrains/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
lucidrains/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
PreferredAI/cornac
A Comparative Framework for Multimodal Recommender Systems
LuanRT/YouTube.js
A JavaScript client for YouTube's private API, known as InnerTube.
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
recommenders-team/recommenders
Best Practices on Recommendation Systems
Beomi/cite.gg
🔍 우리가 읽을 논문을 찾아서, Cite.GG
Beomi/KcBERT
🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
eagle705/pytorch-bert-crf-ner
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
monologg/KoBERT-Transformers
KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)
monologg/HanBert-Transformers
HanBert on 🤗 Huggingface Transformers 🤗
SKTBrain/KoBERT
Korean BERT pre-trained cased (KoBERT)