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UC Irvine
- https://www.linkedin.com/in/li-huai-lin/
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow code and pre-trained models for BERT
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
The official source code repository for the calibre ebook manager
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d…
🦉 ML Experiments and Data Management with Git
Hackable and optimized Transformers building blocks, supporting a composable construction.
Build resilient language agents as graphs.
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
A TensorFlow implementation of the Differentiable Neural Computer.
Multi-Task Deep Neural Networks for Natural Language Understanding
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A library for differentiable nonlinear optimization
CKIP Neural Chinese Word Segmentation, POS Tagging, and NER
Shared repository for open-sourced projects from the Google AI Language team.
Tensorflow implementation of a Neural Turing Machine
We are going to build a Binary to Decimal converter using RNN. We are going to build a RNN from scratch using python, no machine learning libraries are going to be used.