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kandinsky-2

Kandinsky 2 — multilingual text2image latent diffusion model

lama-cleaner

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

lightning

The most intuitive, flexible, way for researchers, ML engineers and data scientists to build models (with PyTorch) and ML systems for the ML lifecycle with an obsessive focus on flexibility and performance.

llmzoo

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

medical-imaging-datasets

A list of Medical imaging datasets.

medsam

The official repository for MedSAM: Segment Anything in Medical Images.

ml-papers-explained

Explanation to key concepts in ML

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neural_networks

A simple Neural Networks library in Rust

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

papers

programs

rust-crash-course

Rust Crash Course, by BPB Publications

rustbooks

List of Rust books

rust_book_resources

segment-anything

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.

sentimentanalysis

Sentiment analysis using LSTM in Keras

stable-diffusion

stablestudio

Community interface for generative AI

svdiff-pytorch

Implementation of "SVDiff: Compact Parameter Space for Diffusion Fine-Tuning"

tune-a-video

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

visual-chatgpt

Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

white-box-cartoonization

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”