abcxyzi

abcxyzi's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.7k3729.3k16.5k

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python34.6k1879.9k6.7k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.7k3254053.4k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.4k4443.3k7k

• zerotier/ZeroTierOne

  A Smart Ethernet Switch for Earth

  Language:C++14.8k2961.9k1.7k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k995781.2k

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.6k2102.3k2.6k

• THU-MIG/yolov10

  YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

  Language:Python10.2k554271k

• greatscottgadgets/hackrf

  low cost software radio platform

  Language:C6.7k5461k1.5k

• pyqtgraph/pyqtgraph

  Fast data visualization and GUI tools for scientific / engineering applications

  Language:Python3.9k1551.3k1.1k

• gqrx-sdr/gqrx

  Software defined radio receiver powered by GNU Radio and Qt.

  Language:C++3.1k164866548

• nickrehm/dRehmFlight

  Teensy/Arduino flight controller and stabilization for small-scale VTOL vehicles

  Language:C++1.1k860255

• WongKinYiu/YOLO

  An MIT rewrite of YOLOv9

  Language:Python820367084

• EdisonLeeeee/Awesome-Masked-Autoencoders

  A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

  79332152

• HRNet/HRNet-Object-Detection

  Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

  Language:Python647165396

• NVIDIA/NeMo-Framework-Launcher

  Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.

  Language:Python4812037140

• pola-rs/nodejs-polars

  nodejs front-end of polars

  Language:TypeScript4521012246

• bshall/hubert

  HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

  Language:Python33741753

• lucidrains/linformer

  Implementation of Linformer for Pytorch

  Language:Python2598925

• Srijith-rkr/Whispering-LLaMA

  EMNLP 23 - Integrating Whisper Encoder to LLaMA Decoder for Generative ASR Error Correction

  Language:Jupyter Notebook23851316

• strath-sdr/RFSoC-Book

  Companion Jupyter Notebooks for the RFSoC-Book.

  Language:Jupyter Notebook1518642

• naver-ai/cl-vs-mim

  (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"

  Language:Jupyter Notebook104758

• UCSC-VLAA/DMAE

  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"

  Language:Python103585

• mehdihosseinimoghadam/Complex-Neural-Networks

  Implementation of Complex Valued Neural Networks in Pytorch 🧠

  Language:Jupyter Notebook41105

• RFChallenge/icassp2024rfchallenge

  Language:Jupyter Notebook11524

• ilyassmoummad/ssl4birdsounds

  Self-supervised representation learning for bird sounds (ICASSPW SASB 2024)

  Language:Python10202

• usnistgov/BaselineDeepLearningRadarDetectors

  Baseline models for the paper "A Tutorial on Generating RF Datasets for Training and Testing Baseline Deep Learning Detectors: Radar Detection in the 3.5 GHz CBRS Band"

  Language:Python6604

• abcxyzi/RadDet

  Radar datasets for real-time wideband radar spectrum detection. Our paper has been submitted to ICASSP 2025, currently under review.

  4100

• alicia-tsai/implicit-deep-learning

  Public code base for implicit deep learning project

  Language:Python3202

• abcxyzi/RadCharSSL

  Radar datasets for self-supervised radar signal recognition. Our paper has been submitted to ICASSP 2025, currently under review.

  2100