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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
100-Days-Of-ML-Code中文版
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Neural Networks: Zero to Hero
PRML algorithms implemented in Python
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Solutions of Reinforcement Learning, An Introduction
Doing simple retrieval from LLM models at various context lengths to measure accuracy
Examples of matplotlib codes and plots
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
Generative Representational Instruction Tuning
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
A PyTorch implementation of OpenAI's REPTILE algorithm
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
Reproduce MAML in Pytorch with omniglot dataset.
Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet