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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
Clone a voice in 5 seconds to generate arbitrary speech in real-time
A collection of learning resources for curious software engineers
A collection of design patterns/idioms in Python
Streamlit — A faster way to build and share data apps.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Python sample codes for robotics algorithms.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
An open-source RAG-based tool for chatting with your documents.
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
Datasets, Transforms and Models specific to Computer Vision
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习