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
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YoloV3 Implemented in Tensorflow 2.0
- tensorflow
- tf2
- yolo
- yolov3
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
- datascience
- machine-learning
- statistical-learning
- python
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
- milvus
- unstructured-data
- image-search
- audio-search
Solutions of Reinforcement Learning, An Introduction
- reinforcement-learning
- exercise-solutions
- self-study
- solutions
3D U-Net model for volumetric semantic segmentation written in pytorch
- semantic-segmentation
- unet
- unet-pytorch
- 3d-unet
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
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
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
This repository helps you learn Python and Machine Learning from scratch.
- python
- jupyter-notebook
- pandas-dataframe
- numpy
cluster data collected from production clusters in Alibaba for cluster management research
Feature selector is a tool for dimensionality reduction of machine learning datasets
NVIDIA curated collection of educational resources related to general purpose GPU programming.
Machine Learning Course, Sharif University of Technology
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
- pytorch
- stochastic-differential-equations
- inverse-problems
- generative-models
subpixel: A subpixel convnet for super resolution with Tensorflow
Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.
- role-playing
- text-generation
机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
- machine-learning
- statistical-learning-method
A colab gradio web UI for running Large Language Models
- colab
- colab-notebook
- colaboratory
- gradio
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
- quantum-algorithms
- quantum-software
- quantum-applications
- quantum-open-source
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
- machine-learning-projects
- projects
- ml-project
- python-project
A replica of the AlphaZero methodology for deep reinforcement learning in Python