ErenCaldiran's starred repositories
Knowledge_distillation_via_TF2.0
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API
Tensorflow-Knowledge-Distillation
An implementation of the knowledge distillation technique as described by Geoffrey Hinton, Oriol Vinyals, and Jeff Dean in the following paper: https://arxiv.org/abs/1503.02531
Zero-shot_Knowledge_Distillation
Zero-Shot Knowledge Distillation in Deep Networks in ICML2019
Knowledge-Distillation-in-Keras
Demonstrates knowledge distillation for image-based models in Keras.
tum-traffic-dataset-dev-kit
TUM Traffic Dataset Development Kit
EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
multimodal-maestro
Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
segment-anything-fast
A batched offline inference oriented version of segment-anything
open-interpreter
A natural language interface for computers
End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
Semantic-SAM
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Semantic-Segment-Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.
onnx-simplifier
Simplify your onnx model
librealsense
Intel® RealSense™ SDK
installRealSenseSDK
Install the Intel RealSense SDK on the NVIDIA Jetson Development Kits
Labal-Anything-Pipeline
Baby-DALL3: Annotation anything in visual tasks and Generate anything just all in one-pipeline with GPT-4 (a small baby of DALL·E 3).
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
EfficientPS
PyTorch code for training EfficientPS for Panoptic Segmentation
bdd100k-models
Model Zoo of BDD100K Dataset
FaceAnalyzer
A python library for face detection and features extraction based on mediapipe library
RobotVision2
移动端实时疲劳驾驶检测
Driver-State-Detection
A real time, webcam based, driver attention state detection/monitoring system in Python3 using OpenCV and Mediapipe