Stars
Puzzles for exploring transformers
What would you do with 1000 H100s...
Solve puzzles. Improve your pytorch.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Letta (fka MemGPT) is a framework for creating stateful LLM services.
Tor Relay availability checker, for using it as a bridge in countries with censorship
Программа собирает посты и комментарии с социальной сети Вконтакте, отбирает сообщения по ключевым словам нечетким сравнением и проверкой орфографии, сохраняет сообщения в нереляционную базу данных…
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Russian dialog datasets parsers and crawlers.
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
Cramming the training of a (BERT-type) language model into limited compute.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Russian cities names, regions, population estimate and geographic coordinates.
Medium Size Bikes & Cycling Accessories Organisation's Transactions Data Based Cohort Analysis¶
AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation(古文预训练模型)
A collection of libraries to optimise AI model performances
PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
PyTorch implementation of adversarial attacks [torchattacks]
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.