Showing 1621-1640 of 2,554 projects
Efficient Neural Architecture Search via Parameter Sharing for TensorFlow
A Python library that provides agent techniques to augment and push the limits of large language models (LLMs).
A cloud-native, high-performance AI & API gateway platform for managing and distributing AI models and APIs.
An AI-powered tool that extracts knowledge and generates summaries from PDF books, page by page.
Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.
This repository provides a dual LSTM encoder model for generating dialog responses using machine learning.
A research paper on representation alignment for training diffusion models for AI-assisted code generation.
A C++ all-in-one database solution for developers building with AI tools and frameworks.
An efficient C++ implementation of the RWKV language model for fast CPU inference on various bit-width quantizations.
Octo is a transformer-based robot policy trained on 800k robot trajectories for vibe coders.
A curated list of resources for meta-learning, including papers, code, books, and more for developers working with AI tools.
Measuring Massive Multitask Language Understanding with GPT-3 and few-shot learning techniques.
A Chinese-language Keras documentation with more examples, explanations, and tips for developers.
A Python library that uses LLMs and embeddings to process datasets with up to 1000x speedups
FLAN: A Flexible Language Model that can be Adapted to Various Tasks
YPrompt is a developer platform focused on AI-powered prompt engineering and optimization, enabling users to generate, test, and manage effective prompts for various AI applications.
An index of the LangChain + LangGraph ecosystem for building LLM and multi-agent applications.
Official implementation of Rectified Flow, a novel AI model architecture with impressive performance.
DeepSeek-Math-V2 is a Python library for AI-powered math analysis and computation.
A Python library for probabilistic time series forecasting using large language models like LLaMA.
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