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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
scikit-learn: machine learning in Python
LlamaIndex is a data framework for your LLM applications
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A high-throughput and memory-efficient inference and serving engine for LLMs
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code and documentation to train Stanford's Alpaca models, and generate the data.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Best Practices on Recommendation Systems
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
PyTorch implementations of Generative Adversarial Networks.
An open-source tool-augmented conversational language model from Fudan University
PyTorch package for the discrete VAE used for DALL·E.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Source code for Twitter's Recommendation Algorithm
Hackable and optimized Transformers building blocks, supporting a composable construction.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
A Collection of Variational Autoencoders (VAE) in PyTorch.
A Python scikit for building and analyzing recommender systems
Google AI 2018 BERT pytorch implementation
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
The official PyTorch implementation of Google's Gemma models
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.