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tflearn is a deep learning framework and high-level API wrapper for TensorFlow. It provides a toolkit for designing neural network architectures and a system for executing training loops and optimizing model weights across CPUs and GPUs. The project simplifies the process of building and training models through a modular interface and a high-level API for prototyping. It includes specialized utilities for deep learning visualization, allowing for the generation of graphical diagrams to analyze network structures, weights, gradients, and activations. The framework covers a broad range of capa
This project is a transformer-based framework for generating dense and sparse vector embeddings of text and multimodal data. It serves as a library for fine-tuning models to perform semantic similarity tasks, retrieval, and reranking. The system is distinguished by its support for diverse architectural patterns, including bi-encoders for fast similarity search and cross-encoders for high-precision reranking. It provides dedicated pipelines for multimodal embeddings, mapping text and images into a shared vector space, and implements knowledge distillation to compress large models into smaller,
This library provides a comprehensive framework for fine-tuning, aligning, and distilling transformer-based language models. It serves as a toolkit for adapting models to specialized domains through supervised learning, while offering advanced methodologies to improve output quality and reasoning capabilities. The project distinguishes itself through specialized alignment and optimization techniques, including direct preference optimization and reinforcement learning, which allow models to be tuned against human preferences without complex reward modeling. It further supports training efficie
Create Custom LLMs
The main features of e-p-armstrong/augmentoolkit are: Data Generation Frameworks, Training and Fine-Tuning.
Projects with overlapping indexed features include: tflearn/tflearn — tflearn is a deep learning framework and high-level API wrapper for TensorFlow. It provides a toolkit for designing… huggingface/sentence-transformers — This project is a transformer-based framework for generating dense and sparse vector embeddings of text and multimodal… huggingface/trl — This library provides a comprehensive framework for fine-tuning, aligning, and distilling transformer-based language… ibm/data-prep-kit — Open source project for data preparation for GenAI applications. kiln-ai/kiln — Kiln is an LLM development workbench and evaluation framework designed for designing, testing, and optimizing prompts… bespokelabsai/curator.
