Popular GitHub Repositories for Efs Volume

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

Point-NeRF: Point-based Neural Radiance Fields

【新增思维链支持】免费的ChatGPT API的安卓语音助手，可用音量键唤起并进行语音交流，支持联网、Vision拍照识图、提问模板等功能 | A free ChatGPT API voice assistant for Android, activated via volume keys for voice interaction, supporting features such as network connectivity, Vision photo recognition, and question templates.

Free self-hosted market-making bot for crypto projects & token issuers. Volume, spread, liquidity, price ranges, and dynamic order books — all in one.

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

NeRF for Outdoor Scene Relighting [ECCV 2022]

M.I.L.E.S, a GPT-4-Turbo voice assistant, self-adapts its prompts and AI model, can play any Spotify song, adjusts system and Spotify volume, performs calculations, browses the web and internet, searches global weather, delivers date and time, autonomously chooses and retains long-term memories. Available for macOS and Windows.

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

Neural Radiance Fields from a Single Colour Event Camera [CVPR 2023]

[ICLR 2025] Learning General-purpose Biomedical Volume Representations using Randomized Synthesis

Volume Under the Surface: Accuracy Measure for Time Series Anomaly Detection

Open Speech-to-Text recording tool with real-time volume metering and transcription.

End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume