Stars
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
TidyBot: Personalized Robot Assistance with Large Language Models
DRL university course lecture notes & exercises
CRAVES: Controlling Robotic Arm with a Vision-based, Economic System
A curated list of awesome data labeling tools
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ספר מלא בעברית על למידת מכונה ולמידה עמוקה
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Latex code for making neural networks diagrams
You like pytorch? You like micrograd? You love tinygrad! ❤️
Object detection, 3D detection, and pose estimation using center point detection:
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
📊 TensorFlow 2.X implementation of Conditional Tabular Generative Adversarial Network.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A python implementation of the DeepInsight methodology.
Object Tracking using CNN and RNN in Tensorflow
End-to-End Object Detection with Transformers
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Training and Detecting Objects with YOLO3
OpenMMLab Detection Toolbox and Benchmark
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
Guides for learning + doing better web and app development. Created by Coding for Entrepreneurs.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A Docker image for the Kaldi speech recognition tool + training data from Pop Up Archive