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USC
- Los Angeles
- https://himanshurawlani.github.io/
- @raw_himanshu
Stars
🦜🔗 Build context-aware reasoning applications
Fast disk usage analyzer with console interface written in Go
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
This repository contains demos I made with the Transformers library by HuggingFace.
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
Most popular metrics used to evaluate object detection algorithms.
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Universal Office Converter - Convert between any document format supported by LibreOffice/OpenOffice.
State-of-the-Art Text Embeddings
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
YAAC: Another Awesome CV is a template using Font Awesome and Adobe Source Font.
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Keras implementation of RetinaNet object detection.
Convolutional recurrent neural network for scene text recognition or OCR in Keras
A data generator for 2D object detection
A Hyperparameter Tuning Library for Keras
A Keras port of Single Shot MultiBox Detector
Tensors and Dynamic neural networks in Python with strong GPU acceleration