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Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Contains Solutions to Deep Learning Specailization - Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Provide pre-trained MobileNetv123 and MobileNet-DSC FPN models for DeblurGANv2
📋 A list of open LLMs available for commercial use.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild (CVPR2024 Oral)
Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096…
Free universal database tool and SQL client
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
⭐️ Companies that don't have a broken hiring process
List of resources for mineral exploration and machine learning, generally with useful code and examples.
rgoggins / kepler.gl
Forked from keplergl/kepler.glKepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python
2025 AI/ML internship & new graduate job list updated daily
This repo container code for data driven AI workshop
Tutorials for converting natural language to SQL (NL2SQL) to fetch required data.
List of 50+ Remote Job Portals that are actively hiring for a fully remote or semi remote jobs
[TGRS 2024] DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Collection of Summer 2025 tech internships!
First implementation of EE8204 Course Project. This code aims at utilizing a Deep Residual U-Net to segment roads from satellite imagery
Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.