Showing 581-600 of 657 projects
MASS is a pre-training framework for language generation tasks using masked sequence-to-sequence learning.
FAIR Sequence Modeling Toolkit 2 is a powerful PyTorch-based library for training custom language models and sequence-to-sequence models.
This is a collection of starter apps for learning Android development with Kotlin.
A collection of hacks and techniques for training reinforcement learning systems from a Deep RL Bootcamp lecture.
A Python library for training and using AI models in the ComfyUI AI generation tool.
A state-of-the-art AI text-to-GIF model for developers building with AI tools and Stable Diffusion XL.
Tools to train a generative model on arbitrary audio samples for vibe coders focused on AI tools.
An async RL training library for scaling AI model training and deployment.
A scalable multi-agent reinforcement learning simulator for autonomous driving research and development.
This repository provides tools and models for training LoRA (Low-Rank Adaptation) for large language models like LLaMA and ChatGLM, enabling AI-powered code generation and assistance.
An A3C algorithm implementation for training an AI agent to play Super Mario Bros
Efficient PyTorch practices for training large datasets
An open-source PyTorch library for training Generative Adversarial Networks (GANs) with spectral normalization and projection discriminators.
A collection of bioinformatics training materials written in Python for developers working with biological data.
DataDreamer is a Python library for generating synthetic data, fine-tuning and aligning large language models.
EleutherAI/math-lm is a Python library for training and using large language models for mathematical tasks.
TextBox 2.0 is a Python library for text generation with pre-trained language models.
A dataset of real user questions and answers for training and evaluating question answering systems.
Tencent Pre-training framework in PyTorch with a pre-trained model zoo for NLP tasks
An object detection framework that bridges the gap between anchor-based and anchor-free detection models.
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