code and resources used in the Going Meta sessions

The code and data for "StructGPT: A general framework for Large Language Model to Reason on Structured Data"

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Ongoing research training transformer language models at scale, including: BERT & GPT-2

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

The Official Python Client for Lamini's API

A Corpus of Hindu Temples in India

GPT4 & LangChain Chatbot for large PDF docs

Gluon CV Toolkit

Modin: Scale your Pandas workflows by changing a single line of code

[ECCV 2022] PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection

YOLOv7 Instance Segmentation using OpenCV and PyTorch

🦜🔗 Build context-aware reasoning applications

LlamaIndex is a data framework for your LLM applications

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

Book on Julia for Data Science

Reusable functionality for defining custom attention/transformer layers.

Julia Implementation of Transformer models

Shows how to use the Scanners

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

An enterprise friendly way of detecting and preventing secrets in code.

Get the course here: https://deeplearningcourses.com/c/ai-finance

This repository contains implementations and illustrative code to accompany DeepMind publications

Self-Supervised Semantic Segmentation using BYOL(Bootstrap your own Latent) and fine tuning using FCN8s(Fully Convolutional Network)