Stars
This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
A collection of useful resources for Machine Learning System Design
Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A Unified Library for Parameter-Efficient and Modular Transfer Learning
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The repo for paper "Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data"
Curated list of datasets and tools for post-training.
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
Minimal reproduction of DeepSeek R1-Zero
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
STATS305C: Applied Statistics III (Spring, 2023)
Jupyter notebooks from our weekly (or so) hackathons
Bayesian Data Analysis course at Aalto
Python Implementation of Reinforcement Learning: An Introduction


