Public repo for DeepLearning.AI MLEP Specialization

ml_in_production_codes, week3- in dir workshops

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

🔋 The Full Stack 7-Steps MLOps Framework - Learn ML Engineering by designing, implementing, monitoring, and deploying your own energy consumption forecaster.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

auto gpt

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

An English-language shell for any OS, powered by LLMs

⛓️ LangFlow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

General technology for enabling AI capabilities w/ LLMs and MLLMs

VisualChatGPT

few shot learning with clip

LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Siamese and triplet networks with online pair/triplet mining in PyTorch

Few-Shot Learning using CLIP as a visual feature extractor