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Code for the paper Fine-Tuning Language Models from Human Preferences
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
Failure archive for ChatGPT and similar models
A playbook for systematically maximizing the performance of deep learning models.
A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Prioritized Experience Replay (PER) implementation in PyTorch
Code for paper "Learning to Reweight Examples for Robust Deep Learning"
A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
TensorFlow-based neural network library
tensorflow实战练习，包括强化学习、推荐系统、nlp等
A curated list of papers dedicated to neural text (semantic) matching.
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
A simple version of MatchPyramid implement in TensorFlow. Paper https://arxiv.org/abs/1602.06359.
Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017
Weight Normalization (Salimans and Kingma, 2016) by Chainer
Chainer implementation of Weight Normalization