Process Google Dataset is a tool to download and process images for neural networks from a Google Image Search using a Chrome extension and a simple Python code.
☆33Sep 8, 2021Updated 4 years ago
Alternatives and similar repositories for process-google-dataset
Users that are interested in process-google-dataset are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A framework for implementing equivariant DL☆10May 25, 2021Updated 5 years ago
- A streaming ETL for fish☆13Jan 24, 2019Updated 7 years ago
- real time recommendation playground☆15Nov 7, 2022Updated 3 years ago
- PyTorch tool for training with bigger batch size on the GPU☆11Feb 26, 2021Updated 5 years ago
- Mimicking Stephen Colbert for @deepcolbert on Twitter☆11Jun 20, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Fourier Feature Networks in TensorFlow 2☆21Jun 23, 2020Updated 5 years ago
- ☆15Nov 28, 2023Updated 2 years ago
- Inference code in Pytorch for GPT-like models, such as PAGnol, a family of models with up to 1.5B parameters, trained on datasets in Fren…☆20Oct 18, 2022Updated 3 years ago
- A tool for generic tracking-based CV annotation☆18Jan 27, 2021Updated 5 years ago
- Hash-routed Networks☆20Nov 20, 2020Updated 5 years ago
- The simplest way to deploy a machine learning model☆23Nov 19, 2022Updated 3 years ago
- Pytorch Feature Map Extractor☆49Feb 21, 2026Updated 3 months ago
- Solution of team "Data O Plomo" to the qualification phase of the 2020 edition of the International Data Analysis Olympiad (IDAO)☆18Nov 20, 2020Updated 5 years ago
- Gradient boosting on steroids☆28Jun 17, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Autoregressive Bayesian linear model☆21Sep 10, 2020Updated 5 years ago
- Deep Learning Examples☆12Oct 31, 2019Updated 6 years ago
- ☆13Jan 27, 2023Updated 3 years ago
- Resize photo ID images using face recognition technology☆14Dec 7, 2020Updated 5 years ago
- Labeled human instances (5711 images)☆32Jan 23, 2025Updated last year
- Pytorch implementation of Google TCAV☆10Jan 11, 2019Updated 7 years ago
- ✨ Ravestate is Roboy's reactive dialogue state library.☆25Oct 25, 2022Updated 3 years ago
- Codes for Category-aware Generative Adversarial Networks (AAAI 2020)☆19Sep 4, 2020Updated 5 years ago
- An implementation of WaveNet using PyTorch & PyTorch Lightning☆13Apr 23, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Frame-agnostic XAI Library for Computer Vision, for understanding why models behave that way.☆11Feb 19, 2023Updated 3 years ago
- Demo Applications for Spatial AI Webinar☆21Jul 25, 2025Updated 10 months ago
- Reinforcement learning modular with pytorch☆11Jan 18, 2021Updated 5 years ago
- Modification of the original Mask/Faster R-CNN☆12Dec 13, 2020Updated 5 years ago
- With a little help from deep learning, now you too can create your own happy accidents☆65Jan 6, 2023Updated 3 years ago
- Synthesizing and manipulating 2048x1024 images with conditional GANs☆62Jan 12, 2020Updated 6 years ago
- The offical repository of "IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers"☆15May 7, 2024Updated 2 years ago
- Okapi BM25 with Go☆13Mar 28, 2023Updated 3 years ago
- ☆10Feb 21, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A simple monitoring camera web server which uses deep learning model (classification) to filter or group camera events.☆21Jul 19, 2024Updated last year
- Framework for Neural Style Transfer (NST) built upon PyTorch☆274Apr 11, 2023Updated 3 years ago
- Code for our paper "Active Perception using Light Curtains for Autonomous Driving", ECCV 2020☆10Dec 7, 2021Updated 4 years ago
- Generate bird's-eye views of conference proceedings.☆24Jul 17, 2025Updated 10 months ago
- Image Compression on COCO Dataset using Convolution AutoEncoders☆12Feb 24, 2019Updated 7 years ago
- Simple rules based grapheme to phoneme in Python☆11Sep 2, 2017Updated 8 years ago
- MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces☆14Mar 24, 2025Updated last year