syurenuko's Stars
AnswerDotAI/rerankers
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
h2oai/h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
aerdem4/curriculum-recommendations
1st Place Solution to the Curriculum Recommendations on Kaggle
llm-merging/LLM-Merging
LLM-Merging: Building LLMs Efficiently through Merging
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
wasiahmad/Awesome-LLM-Synthetic-Data
A reading list on LLM based Synthetic Data Generation 🔥
mtenenholtz/lmsys-chatbot-arena-solution
manujosephv/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Accord33/CodeMend
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
BlackPearl-Lab/KddCup-2024-OAG-Challenge-1st-Solutions
unonao/kaggle-template
MLコンペ用テンプレート
lvkv/whenfs
A FUSE filesystem for your Google calendar
hppRC/llm-lora-classification
LLMとLoRAを用いたテキスト分類
takahiroanno2024/election2024
東京都知事選2024のリポジトリ
rahowa/catboost_focal_loss
📈 😸 Binary focal loss implementations for catboost framework
a5chin/python-uv
This repository contains configurations to set up a Python development environment using VSCode's Dev Container feature. The environment includes uv and Ruff.
momijiame/shirokumas
A set of scikit-learn style transformers for Polars
ktakita1011/my_kaggle_docker
2023年版kaggle環境
sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
ZFTurbo/segmentation_models_pytorch_3d
Segmentation models for 3D data with different backbones. PyTorch.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
e2b-dev/awesome-ai-agents
A list of AI autonomous agents
mercari/mercari-ml-merrec-pub-us
taishi-i/awesome-japanese-nlp-resources
A curated list of resources dedicated to Python libraries, LLMs, dictionaries, and corpora of NLP for Japanese
hwchase17/langchain-hub
citadel-ai/langcheck
Simple, Pythonic building blocks to evaluate LLM applications.
SuperHotDogCat/Attention-from-scratch
DeepLearningのAttentionモデルをPytorchの低レベルAPIを使って1から制作しようという試みのリポジトリです。