facebookresearch / faissLinks
A library for efficient similarity search and clustering of dense vectors.
☆38,751Updated this week
Alternatives and similar repositories for faiss
Users that are interested in faiss are comparing it to the libraries listed below
Sorting:
- Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk☆14,125Updated 2 months ago
- Header-only C++/python library for fast approximate nearest neighbors☆5,051Updated 4 months ago
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,076Updated 3 months ago
- Unsupervised text tokenizer for Neural Network-based text generation.☆11,564Updated last week
- Benchmarks of approximate nearest neighbor libraries in Python☆5,570Updated 7 months ago
- State-of-the-Art Text Embeddings☆18,096Updated last week
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆154,849Updated last week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,649Updated last month
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆21,950Updated last month
- Open standard for machine learning interoperability☆20,144Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆34,581Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,714Updated this week
- Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search☆42,203Updated this week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆41,208Updated this week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,011Updated this week
- Inference code for Llama models☆59,055Updated 11 months ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆96,579Updated this week
- 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production☆10,385Updated this week
- TensorFlow code and pre-trained models for BERT☆39,807Updated last year
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,857Updated this week
- Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-me…☆3,564Updated last week
- Ongoing research training transformer models at scale☆14,879Updated this week
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,328Updated last year
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆40,708Updated this week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,465Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆67,633Updated this week
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆32,291Updated last year
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,443Updated this week
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆18,994Updated this week
- 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP☆12,806Updated last year