Repository Index

Streamlit — A faster way to build and share data apps.

• python
• machine-learning
• data-science
• deep-learning

Making large AI models cheaper, faster and more accessible

• deep-learning
• hpc
• large-scale
• data-parallelism

Faster Whisper transcription with CTranslate2

• deep-learning
• inference
• quantization
• speech-recognition

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

• nlp
• datasets
• pytorch
• tensorflow

☁️ Build multimodal AI applications with cloud-native stack

• neural-search
• cloud-native
• deep-learning
• machine-learning

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

• attention-mechanism
• deep-learning
• gpt
• gpt-2

Image augmentation for machine learning experiments.

• image-augmentation
• machine-learning
• augmentation
• deep-learning

An open source implementation of CLIP.

• deep-learning
• pytorch
• computer-vision
• language-model

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

• style-transfer
• neural-style
• neural-networks
• deep-learning

Fast and Accurate ML in 3 Lines of Code

• automl
• machine-learning
• data-science
• deep-learning

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

• cloud-computing
• deep-learning
• gpu
• hyperparameter-tuning

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

• bloom
• deep-learning
• distributed-systems
• language-models

A python library for user-friendly forecasting and anomaly detection on time series.

• python
• time-series
• forecasting
• machine-learning

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

• deep-learning
• neural-network
• tensorflow
• machine-learning

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

A python library for self-supervised learning and latent world models on images.

• deep-learning
• self-supervised-learning
• machine-learning
• computer-vision

Accelerated deep learning R&D

• deep-learning
• reinforcement-learning
• machine-learning
• computer-vision

An open source library and framework for deep learning on satellite and aerial imagery.

• deep-learning
• computer-vision
• remote-sensing
• geospatial

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

• deep-learning
• computer-vision
• speech-recognition
• 3d-convolutional-network

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

• forecasting
• scikit-learn
• machine-learning
• python

High level network definitions with pre-trained weights in TensorFlow

• tensorflow
• model
• zoo
• deep-learning

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

• convolutional-neural-networks
• deep-learning
• speaker-recognition
• 3d

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

• deep-learning
• pytorch
• deep-chemistry
• graph-neural-network

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

• graph
• graph-sampling
• network-sampling
• random-walk