Instruct-tune LLaMA on consumer hardware

StableLM: Stability AI Language Models

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Democratizing Reinforcement Learning for LLMs

The hub for EleutherAI's work on interpretability and learning dynamics

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Crosslingual Generalization through Multitask Finetuning

Tensorflow tutorial of building different dynamic recurrent neural network

Practical Exercise Codes for PyTorch

NMT for chinese-english using fairseq

Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**

SOTA punctation restoration (for e.g. automatic speech recognition) deep learning model based on BERT pre-trained model

LLM serving cluster simulator

Performance Estimates for Transformer AI Models in Science

Re-implementation of Attention-Based Convolutional Neural Network (ABCNN) by Chainer

Repository is archived. Please navigate to https://github.com/IBM/watson-machine-learning-samples