Efficient neural feature detector and descriptor
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Simplified implementations of deep learning related works
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
- python-script
- webscrapping
- ascii-art
- beginner-project
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
YoloV3 Implemented in Tensorflow 2.0
- tensorflow
- tf2
- yolo
- yolov3
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
MTCNN face detection implementation for TensorFlow, as a PIP package.
- mtcnn
- face
- detection
- tensorflow
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
- machine-learning
- deep-learning
- representation-learning
- pytorch-implementation
Coding the Machine Learning Tutorial for Learning to Learn
Build an email assistant with human-in-the-loop and memory
- agents
- memory
Solutions of Reinforcement Learning, An Introduction
- reinforcement-learning
- exercise-solutions
- self-study
- solutions
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
- stable-diffusion
- ai-art
- generative-art
- latent-diffusion
3D U-Net model for volumetric semantic segmentation written in pytorch
- semantic-segmentation
- unet
- unet-pytorch
- 3d-unet
Qwen-UI-Agent: Towards Next-Generation Real-World Centric Foundation GUI Agent
- gui-agent
- gui-grounding
- gui-navigation
- browser-use
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
- nlp
- text-classification
- text-matching
- information-extraction
A repo for data science related questions and answers
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
- machine-learning
- deep-learning
- python
- classification
Machine Learning Journal for Intermediate to Advanced Topics.
- data-science
- documentation
- large-language-models
- learning-resources
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
- ai
- fine-tuning
- model-training
- nemotron
Implementing a Neural Network from Scratch
pytorch implementation of openpose including Hand and Body Pose Estimation.
- openpose
- pytorch
- pose-estimation
Deep Reinforcement Learning: Zero to Hero!
- deep-reinforcement-learning
- reinforcement-learning
- deep-learning
- machine-learning