deep-learning

The official implementation of Self-Play Fine-Tuning (SPIN)

Paint by Example: Exemplar-based Image Editing with Diffusion Models

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

Neural Network Compression Framework for enhanced OpenVINO™ inference

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

An implementation of Performer, a linear attention-based transformer, in Pytorch

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

A local-first AI knowledge base & NotebookLM alternative built with Electron. More convenient, more lightweight, and understands you better!

From the Tensor to Stable Diffusion, a rough outline for a 10 week course.

Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas

Build agents which are controlled by LLMs

Web UI for AutoGen (A Framework Multi-Agent LLM Applications)

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.