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A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
VideoGigaGAN is a new generative VSR model that can produce videos with high-frequency details and temporal consistency.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)
NetworKit is a growing open-source toolkit for large-scale network analysis.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
StackNet is a computational, scalable and analytical Meta modelling framework
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
TensorFlow code and pre-trained models for BERT
Implementation of Graph Convolutional Networks in TensorFlow
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Code for the paper "Pix2Video: Video Editing using Image Diffusion"
Official Pytorch Implementation for "VidToMe: Video Token Merging for Zero-Shot Video Editing" (CVPR 2024)
Pytorch Implementation of FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing (ICLR 2024)
[CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
[CVPR 2024 Highlight] Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
The fundamental package for scientific computing with Python.
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow