Popular GitHub Repositories for Co Scientist

Awesome Knowledge Distillation

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

LLM based data scientist, AI native data application. AI-driven infinite thinking redefines BI.

Building Startups with an AI Co-Founder

"AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents" & "Open-Sourced Alternative to Google AI Co-Scientist"

A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.

Code for producing Japanese pretrained models provided by rinna Co., Ltd.

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

Complete path for a beginner to become a Machine Learning Scientist!

Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning