syoux's Stars
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
l0o0/translators_CN
Zotero translator中文网页抓取翻译器🎉This is Zotero translators for Chinese Sites(beta), not the official Zotero repo
matthew-mcateer/practicing_trustworthy_machine_learning
GitHub Repo associated with the O'Reilly book "Practicing Trustworthy Machine Learning"
StanfordVL/CS131_release
Released assignments for the Stanford's CS131 course on Computer Vision.
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
StreisandEffect/streisand
Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these services. At the end of the run you are given an HTML file with instructions that can be shared with friends, family members, and fellow activists.
bitsandbytes-foundation/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
khuangaf/FakingFakeNews
Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"
amanchadha/coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
amanchadha/coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
amanchadha/coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
azunre/transfer-learning-for-nlp
Companion repository to Paul Azunre's "Transfer Learning for Natural Language Processing" book
MrSyee/pg-is-all-you-need
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
rll/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
HenryHZY/Awesome-Multimodal-LLM
Research Trends in LLM-guided Multimodal Learning.
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
chuanyangjin/NYU-Course-Notes-and-Resources
NYU Course Notes & Resources
berkeleydeeprlcourse/homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
cormullion/juliamono
repository for JuliaMono, a monospaced font with reasonable Unicode support.
kengz/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
allenai/RL4LMs
A modular RL library to fine-tune language models to human preferences
CarperAI/trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
huggingface/trl
Train transformer language models with reinforcement learning.
aikorea/awesome-rl
Reinforcement learning resources curated
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
google-research/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"