hyper_relational_ilp

alignment-handbook

Robust recipes to align language models with human and AI preferences

few-shot-open-set

Implementation of Open-Set Likelihood Maximization for Few-Shot Learning

litgpt

20+ high-performance LLM implementations with recipes to pretrain, finetune and deploy at scale.

accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed conf...

rlpyt

Reinforcement Learning in PyTorch

deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Ne...

Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detec...

cylon_applications

hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

languagemodels

Explore large language models in 512MB of RAM

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-b...

SGGM

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

dnn_theo_practice

Repository for DNN training, theory to practice, part of the Large Scale Machine Learning class a...

localGPT

Chat with your documents on your local device using GPT models. No data leaves your device and 10...