(CVPR 2024) Point, Segment and Count: A Generalized Framework for Object Counting

official code for "Large Language Models as Optimizers"

Collection of braille datasets for use in machine learning

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

A very basic API to scrape product reviews from Amazon and get data in real time as JSON with all fields, that amazon product adverstising api does not provide.

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

A program that provides LLMs with the ability to complete complex tasks using plugins.

Your AI testing companion that writes tests on your behalf, automated to get you to build and ship faster without sacrificing unit tests.

Scalable single-person pose estimation

A package for the sparse identification of nonlinear dynamical systems from data

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

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

Angelina Braille Reader. Braille photo -> text.

Angelina Braille Images Dataset

A learning rate range test implementation in PyTorch

Experiments with Adam/AdamW/amsgrad

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Forked from https://ultralytics.com/yolov5

Compilation of high-profile real-world examples of failed machine learning projects

Computations and statistics on manifolds with geometric structures.

Kalman filter library

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Numerical integration of Ito or Stratonovich SDEs

A tool that facilitates SSHing to your infrastructure

Building a Bayesian deep learning classifier

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.