ML-Papers-Explained
ML explanations
An explanation of key concepts and advancements in the field of Machine Learning
Explanation to key concepts in ML
7k stars
153 watching
573 forks
last commit: 7 days ago
Linked from 1 awesome list
filipecalegario/awesome-generative-aiRelated projects:
| Repository | Description | Stars |
|---|---|---|
 labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 56,215 |
 alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,351 |
 oxford-cs-deepnlp-2017/lectures | An open-source repository containing lecture slides and course materials for an advanced natural language processing course. | 15,683 |
 thunlp/plmpapers | Compiles and organizes key papers on pre-trained language models, providing a resource for developers and researchers. | 3,328 |
 microsoft/lmops | A research initiative focused on developing fundamental technology to improve the performance and efficiency of large language models. | 3,695 |
 kimiyoung/transformer-xl | Implementations of a neural network architecture for language modeling | 3,611 |
 terrytangyuan/distributed-ml-patterns | Provides practical patterns and techniques for building scalable and reliable machine learning systems | 390 |
 brightmart/text_classification | An NLP project offering various text classification models and techniques for deep learning exploration | 7,861 |
 mlc-ai/mlc-llm | Enables the development, optimization, and deployment of large language models on various platforms using a unified high-performance inference engine. | 19,197 |
 openai/finetune-transformer-lm | This project provides code and model for improving language understanding through generative pre-training using a transformer-based architecture. | 2,160 |
 christophm/interpretable-ml-book | A comprehensive resource for explaining the decisions and behavior of machine learning models. | 4,794 |
 dotnet/machinelearning | A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,035 |
| openai/gpt-2 | A repository providing code and models for research into language modeling and multitask learning | 22,516 |
 codertimo/bert-pytorch | An implementation of Google's 2018 BERT model in PyTorch, allowing pre-training and fine-tuning for natural language processing tasks | 6,222 |
 dennybritz/deeplearning-papernotes | A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications. | 4,410 |