tugglep's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
xai-org/grok-1
Grok open release
Homebrew/brew
🍺 The missing package manager for macOS (or Linux)
anthropics/anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
mistralai/mistral-inference
Official inference library for Mistral models
huggingface/text-generation-inference
Large Language Model Text Generation Inference
langfuse/langfuse
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
huggingface/accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of language models.
anthropics/anthropic-quickstarts
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
bghira/SimpleTuner
A general fine-tuning kit geared toward diffusion models.
stanford-crfm/helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).
aws-samples/amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
SAP-samples/abap-cheat-sheets
Explore ABAP syntax in a nutshell supported by executable demo examples.
aws-samples/amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
ray-project/llmperf
LLMPerf is a library for validating and benchmarking LLMs
mistralai/mistral-common
ContextualAI/gritlm
Generative Representational Instruction Tuning
lupantech/MathVista
MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts
night-chen/ToolQA
ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.
aws-solutions-library-samples/guidance-for-media2cloud-on-aws
Guidance for Media2Cloud on AWS solution (formerly known as AWS Media2Cloud Solution) is designed to demonstrate a serverless ingest framework that can quickly setup a baseline ingest workflow for placing video assets and associated metadata under management control of an AWS customer.
aws-samples/anthropic-on-aws
mistralai/mistral-evals
amazon-science/tracking-dataset
awslabs/llmeter
aws-samples/AI21-on-AWS
aws-samples/3P-Agentic-Frameworks
aws-samples/stabilityai-sample-notebooks
tugglep/3P-Agentic-Frameworks