xiaoda99

xiaoda99

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xiaoda99's repositories

AI-Writer

用魔改 GPT 生成网文小说。AI 写小说。Tuned GPT for novel generation.

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ARC

The Abstraction and Reasoning Corpus

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awesome-chatbot

Awesome Chat Bot

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blockwise-parallel-transformer

Blockwise Parallel Transformer for Long Context Large Models

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bypasswaf

关于安全狗和云锁的自动化绕过脚本

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captum

Model interpretability and understanding for PyTorch

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category-theory-resources

Resources for learning Category Theory for an enthusiast

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FastChat

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

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gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

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identidock

Identidock Example Application from Using Docker

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LARC

Language-annotated Abstraction and Reasoning Corpus

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mesh-transformer-jax

Model parallel transformers in JAX and Haiku

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pa-transformer

The init version of experiment pipeline of the PA-Transformer model.

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paxml

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

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PyFunctional

Python library for creating data pipelines with chain functional programming

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PySvelte

A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations

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pytorch-openai-transformer-lm

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

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rerope

Rectified Rotary Position Embeddings

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seqio

Task-based datasets, preprocessing, and evaluation for sequence models.

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swarm-jax

Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

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triton

Development repository for the Triton language and compiler

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unseal

Mechanistic Interpretability for Transformer Models

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using_docker_in_dev

Code for "Using Docker In Development" Chapter of Using Docker

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