Shubbair

AutoGPT

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.

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.

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

bark

🔊 Text-Prompted Generative Audio Model

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

AnimatedDrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

IF

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

video-retalking

[SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

awesome-python-data-science

Probably the best curated list of data science software in Python.

ManimML

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

ml-pen-and-paper-exercises

Pen and paper exercises in machine learning

keepsake

Version control for machine learning

Play-with-Machine-Learning-Algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

zero_to_gpt

Go from no deep learning knowledge to implementing GPT.

Practical-Machine-Learning

Practical machine learning notebook & articles covers the machine learning end to end life cycle.

project-walkthroughs

Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .

tensor-sensor

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

ML-Training

45 Days Machine learning and data-science training Q&A and assignments.

pix2seq

Pix2Seq - A general framework for turning RGB pixels into semantically meaningful sequences