Showing 521-540 of 657 projects
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
An awesome list of resources for research on CLIP, a contrastive language-image pre-training model.
Diffusion-LM is a Python library for training and using large language models with diffusion models.
A collection of awesome test-time (domain/batch/instance) adaptation methods for machine learning models.
A critical perspective on understanding R1-Zero-Like Training, a technique for large language models.
A library providing pre-trained subword embeddings in 275 languages, useful for natural language processing tasks.
Cross-modal image matching framework with large-scale pre-training for AI-powered coding tools.
A curated list of must-read papers on knowledge editing for large language models.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
This repository contains training materials for the ELK (Elasticsearch, Logstash, Kibana) stack, a popular open-source data analytics and visualization platform.
A template for deploying a Keras-based image classifier web app using Flask in 10 minutes.
An interface library for reinforcement learning (RL) post-training with environments.
A basic Java training course for developers looking to learn the fundamentals of the Java programming language.
An open-source implementation of LLaMA-based ChatGPT that runs on a single GPU, with a 15x faster training process.
A robotics simulation platform for training generalist robots on everyday tasks.
Fine-tune and deploy the Whisper speech recognition model with accelerated inference and support for various platforms.
This is a collection of slides for information olympiad (OI) training, covering topics like dynamic programming and flow networks.
A curated list of resources on large language models and foundation models for time series, spatiotemporal, and event data analysis.
A collection of pre-trained reinforcement learning agents with training and hyperparameter optimization tools.
An open-source stock trading algorithm backtesting platform for training AI models on financial data.
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