hkanezashi's Stars
OpenInterpreter/open-interpreter
A natural language interface for computers
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
FMInference/FlexLLMGen
Running large language models on a single GPU for throughput-oriented scenarios.
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
oreilly-japan/deep-learning-from-scratch
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
qwopqwop200/GPTQ-for-LLaMa
4 bits quantization of LLaMA using GPTQ
google-deepmind/jraph
A Graph Neural Network Library in Jax
oreilly-japan/deep-learning-from-scratch-2
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
llm-jp/awesome-japanese-llm
日本語LLMまとめ - Overview of Japanese LLMs
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
statisticianinstilettos/recmetrics
A library of metrics for evaluating recommender systems
chaitjo/geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
NVIDIA-Merlin/dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
snap-stanford/relbench
RelBench: Relational Deep Learning Benchmark
sugiyama34/AIciaSolidProject
supportive teaching materials of my YouTube channel https://www.youtube.com/channel/UC2lJYodMaAfFeFQrGUwhlaQ
rkmt/summarize_arxv
shunk031/paper-survey
📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
amazon-science/co-with-gnns-example
smly/kaggle-book-gokui
付録コード
recsyslab/recsys-python
fedebotu/ICLR2023-OpenReviewData
Crawl & Visualize ICLR 2023 Data from OpenReview
joisino/speedbook
書籍『深層ニューラルネットワークの高速化』のサポートサイトです。
satrialoka/gnn-from-scratch
Graph neural network implementation using numpy
oreilly-japan/building-search-app-w-ml
『機械学習による検索ランキング改善ガイド』のサンプルコードのリポジトリ
mdx-jp/machine-configs
Machine provisioner with Ansible