swyang50066

AutoRAG

RAG AutoML Tool - Find optimal RAG pipeline for your own data.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Awesome-MLOps-Contents

DataOps(Data Operation), MLOps(Machine Learning Operation) Contents

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-mlops

A curated list of references for MLOps

PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

VPR_Tutorial

TaskMatrix

sam

SAM: Sharpness-Aware Minimization (PyTorch)

Awesome-DriveLM

📚 A collection of resources and papers on Large Language Models in autonomous driving

kapture

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Data-Engineering-Roadmap

Roadmap for Data Engineering

slambook

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.

the-algorithm

Source code for Twitter's Recommendation Algorithm

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

VFDepth

VFDepth Self-supervised surround-view depth estimation with volumetric feature fusion

ROS2_learning

A useful collection of CPP and PYTHON examples to learn ROS2 from zero

awesome-slam-datasets

A curated list of awesome datasets for SLAM

openai-cookbook

Examples and guides for using the OpenAI API

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

FasterTransformer

Transformer related optimization, including BERT, GPT

common-coding-conventions

A concise and universal guide to clear software design.

visual-slam-roadmap

Roadmap to become a Visual-SLAM developer in 2023

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more