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chengdujin
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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🔊 Text-Prompted Generative Audio Model
Google Research
A programming framework for agentic AI 🤖
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
StableLM: Stability AI Language Models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
The "Python Machine Learning (1st edition)" book code repository and info resource
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…
Foundational Models for State-of-the-Art Speech and Text Translation
QLoRA: Efficient Finetuning of Quantized LLMs
Official inference library for Mistral models
This repository contains demos I made with the Transformers library by HuggingFace.
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.