🤗 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

A next generation HTTP client for Python. 🦋

Statistical data visualization in Python

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.

Flutter Reverse Engineering Framework

CKIP Transformers

Tensorflow implementation of a Neural Turing Machine

PTT 網路版爬蟲

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.