深度学习面试问题 回答对应的DeepLearning中文版页码

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Friends of OLMo and their links.

Vector (and Scalar) Quantization, in Pytorch

A curated list of fellowships for graduate students in Computer Science and related fields.

List of computational protein design research labs

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

Educational implementation of the Discrete Flow Matching paper

LLM training code for Databricks foundation models

Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion_NLP_Papers".

A curated list of awesome Active Learning

End-To-End Molecular Dynamics (MD) Engine using PyTorch

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Modeling, training, eval, and inference code for OLMo

Code and documentation to train Stanford's Alpaca models, and generate the data.

A Framework of Small-scale Large Multimodal Models

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Diffusion Reading Group at EleutherAI

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist

Awesome-LLM: a curated list of Large Language Model

Papers and Datasets on Instruction Tuning and Following. ✨✨✨

A curated list of reinforcement learning with human feedback resources (continually updated)

An index of algorithms for reinforcement learning from human feedback (rlhf))

A PyTorch native library for large model training

A Light and Modular PyTorch NLP Project Template