JoliBrain
jolibrain
Pretty AI for solving real world problems
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Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Multimodal RAG to search and interact locally with technical documents of any kind
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
DeepDetect performance sheet
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
FluidNet re-written with ATen tensor lib
Repositories
44Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Multimodal RAG to search and interact locally with technical documents of any kind
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
Web interface to control DeepDetect process
Deep Reinforcement Learning with Fined Grained Action Repetition
DeepDetect Python Jupyter Notebook Widgets
DeepDetect Platform Dockerfile
FluidNet re-written with ATen tensor lib
Pytorch implementation of the VICReg loss.
VoTT fork with DeepDectect connector, open source annotation and labeling tool for image and video assets
Live video client to DeepDetect
Compute Efficient, Gaze Based Object Detector
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
End-to-End Object Detection with Transformers
DeepDetect performance sheet
C++ gstreamer-based video streaming library to deep nets with GPU support
Segformer for deepdetect, based on JoliGEN
No description provided.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Easily create a beautiful website using Academic and Hugo
Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers
Temperature scaling for neural network calibration
🧠DeepDetect package for easy integration in any Go project
Image-to-Image Translation in PyTorch
VICReg official code base
`gpustat` JSON server
Compute FID scores with PyTorch.