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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A high-throughput and memory-efficient inference and serving engine for LLMs
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Autogluon-cloud aims to provide user tools to train, fine-tune and deploy AutoGluon backed models on the cloud. With just a few lines of codes, users could train a model and perform inference on th…
Building blocks for foundation models.
Boosting Latent Diffusion with Flow Matching (ECCV 2024)
The open-source tool for building high-quality datasets and computer vision models
microsoft / Megatron-DeepSpeed
Forked from NVIDIA/Megatron-LMOngoing research training transformer language models at scale, including: BERT & GPT-2
Enhanced ChatGPT Clone: Features Anthropic, OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3, ChatG…
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
news-please - an integrated web crawler and information extractor for news that just works
🦜🔗 Build context-aware reasoning applications
An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
An autoML framework & toolkit for machine learning on graphs.
ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A topic-centric list of HQ open datasets.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Public repo for DeepLearning.AI MLEP Specialization