curiousily / Getting-Things-Done-with-Pytorch
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 …
☆2,385Updated 6 months ago
Alternatives and similar repositories for Getting-Things-Done-with-Pytorch:
Users that are interested in Getting-Things-Done-with-Pytorch are comparing it to the libraries listed below
- Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preproce…☆1,032Updated 4 years ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,405Updated last week
- Repository containing notebooks of my posts on Medium☆2,095Updated 4 months ago
- List of papers, code and experiments using deep learning for time series forecasting☆2,649Updated 10 months ago
- A use-case focused tutorial for time series forecasting with python☆657Updated last year
- PyTorch tutorials and best practices.☆1,673Updated 2 years ago
- A list of NLP(Natural Language Processing) tutorials☆1,368Updated 4 years ago
- Github repo with tutorials to fine tune transformers for diff NLP tasks☆833Updated 9 months ago
- ktrain is a Python library that makes deep learning and AI more accessible and easier to apply☆1,245Updated 5 months ago
- Time series forecasting with PyTorch☆4,110Updated last week
- Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L☆2,001Updated last year
- A comprehensive reference for all topics related to Natural Language Processing☆2,020Updated 3 months ago
- Learn how to use PyTorch to solve some common NLP problems with deep learning.☆418Updated 5 years ago
- Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conve…☆4,144Updated 8 months ago
- Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.☆5,444Updated last year
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,107Updated 2 weeks ago
- Mastering Transformers, published by Packt☆335Updated last year
- Build and train state-of-the-art natural language processing models using BERT☆219Updated 3 years ago
- Leveraging BERT and c-TF-IDF to create easily interpretable topics.☆6,347Updated this week
- Merlion: A Machine Learning Framework for Time Series Intelligence☆3,516Updated 7 months ago
- Papers & presentation materials from Hugging Face's internal science day☆2,043Updated 4 years ago
- list of papers, code, and other resources☆979Updated 6 months ago
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,096Updated 2 weeks ago
- Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)☆664Updated last year
- A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques☆8,768Updated 2 weeks ago
- Tutorials on getting started with PyTorch and TorchText for sentiment analysis.☆4,442Updated 10 months ago
- This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.☆3,998Updated last month
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆550Updated 2 years ago
- Scalable and user friendly neural forecasting algorithms.☆3,260Updated this week
- Natural Language Processing Tutorial for Deep Learning Researchers☆14,391Updated 11 months ago