tomo835g's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
SakanaAI/DiscoPOP
Code for Discovering Preference Optimization Algorithms with and for Large Language Models
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ShotaImamura/Proceedings-summarizer
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
drgreen/COGS18_22
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
microsoft/muzic
Muzic: Music Understanding and Generation with Artificial Intelligence
tstanislawek/awesome-document-understanding
A curated list of resources for Document Understanding (DU) topic
r9y9/ttslearn
ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
YutaroOgawa/pytorch_tutorials_jp
PyTorch公式チュートリアル(日本語翻訳版)の各ノートブックファイル(Google Colab用)です
google-deepmind/alphafold
Open source code for AlphaFold.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
dvgodoy/dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
EbookFoundation/free-programming-books
:books: Freely available programming books
Kaixhin/spinning-up-basic
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
google-deepmind/multi_object_datasets
Multi-object image datasets with ground-truth segmentation masks and generative factors.
google-deepmind/spriteworld
Spriteworld: a flexible, configurable python-based reinforcement learning environment
hirokatsukataoka16/cvpaper.challenge-summary
コンピュータビジョン研究コミュニティcvpaper.challengeのサマリ。サーベイ資料や研究成果など。
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
jsvine/pdfplumber
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
google-research/tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
google-deepmind/dm_hard_eight