Deepak Ghimire

nepse-open-data. Open-source NEPSE stock market data including index, ohlcv, and floorsheet datasets.

nepse-temporal-ai. Explainable and calibrated temporal AI for rare-event surveillance in the Nepal Stock Exchange

arm-edge-inference. Deployment-Stack Effects in Multi-Engine Deep Neural Network Inference on ARM Edge Platforms

OCSPruner. OCSPruner: One-Cycle Structured Pruning. ✅ Published at WACV 2026

Awasome-LiDAR-Only-3D-Detection.

LLM101n. LLM101n: Let's build a Storyteller

msvsp-filter-pruning. Magnitude and Similarity Based Variable Rate Filter Pruning for Efficient Convolution Neural Networks. ✅ Published in Applied Sciences, 2023.

laasp-filter-pruning. Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration. ✅ Published in Image and Vision Computing, 2023.

Intra-Fusion. Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)

Awasome-Pruning. Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.

xformers. Hackable and optimized Transformers building blocks, supporting a composable construction.

Awesome-Pruning-at-Initialization. [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.

DCFF. Pytorch implementation (TPAMI 2023) - Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion

DFPC-Pruning. [ICLR 2023] PyTorch code for DFPC: Data flow driven pruning of coupled channels without data.

Torch-Pruning. [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

PAGCP. [T-PAMI'23] PAGCP for the compression of YOLOv5

only_train_once_personal_footprint. OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

learnopencv. Learn OpenCV : C++ and Python Examples

random_channel_pruning.

onnx2torch. Convert ONNX models to PyTorch.

lottery_regulated_grouped_kernel_pruning. Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions. ICLR 2022

yolov3-tiny-on-jetson-nano. How to inference yolov3 tiny on jetson nano with tensorrt and jetson multimedia api

Ultra-Light-Fast-Generic-Face-Detector-1MB. 💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

Debian-Pi-Aarch64. This is the first 64-bit system in the world to support all Raspberry Pi 64-bit hardware!!! (Include: PI400,4B,3B+,3B,3A+,Zero2W)

Eye-Color-Detection. Automatic Dominant Eye Color Detection in Image or Video

Complex-YOLOv3. Complex-YOLO-v3: Real-time 3D Object Detection. ✅ PyTorch Implementation

Install-OpenCV-with-Tesseract-Windows. Install OpenCV with Tesseract on Windows

KITTI-Point-Cloud-Utils. KITTI Point Cloud Utilities

PyTorch-YOLOv3. Minimal PyTorch implementation of YOLOv3

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

ncnn. ncnn is a high-performance neural network inference framework optimized for the mobile platform

MV3D. Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

ML-From-Scratch. Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

a-PyTorch-Tutorial-to-Object-Detection. SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

second.pytorch. SECOND for KITTI/NuScenes object detection

yolo2_light_cpu. Light version of convolutional neural network Yolo v2 for objects detection with a minimum of dependencies (BIT1-XNOR-inference)

tinyYOLOv2. Tiny YOLOv2 in Tensorflow made simple!

darknet. YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

darknet. Convolutional Neural Networks

tensorflow. An Open Source Machine Learning Framework for Everyone

opencv. Open Source Computer Vision Library