Top 23 Python Deep Learning Projects
Deep Learning for humansProject mention: [D] Batch normalization before or after activation function | reddit.com/r/MachineLearning | 2021-02-23
Deepfakes Software For AllProject mention: Is there a free easy-to-use program to make deepfakes? | reddit.com/r/deepfakememes | 2021-02-17
Get performance insights in less than 4 minutes. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!Project mention: Looking for Beginner CV Resources | reddit.com/r/computervision | 2021-02-07
Definitely check out this list https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap It's all papers, you should get used to reading scientific material.
DeepFaceLab is the leading software for creating deepfakes.Project mention: Is there a free easy-to-use program to make deepfakes? | reddit.com/r/deepfakememes | 2021-02-17
1) Deep Face Lab -- https://github.com/iperov/DeepFaceLab
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: Help getting into Vocal synthesis | reddit.com/r/VocalSynthesis | 2021-02-24
I've been using this https://github.com/CorentinJ/Real-Time-Voice-Cloning
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.Project mention: Resources for learning Python from scratch specifically for data ingestion | reddit.com/r/learnpython | 2021-02-13
data science ipython notebooks
PyTorch Tutorial for Deep Learning ResearchersProject mention: [P] Probabilistic Machine Learning: An Introduction, Kevin Murphy's 2021 e-textbook is out | reddit.com/r/MachineLearning | 2021-01-01
💫 Industrial-strength Natural Language Processing (NLP) in PythonProject mention: Ask HN: What is your production ML stack like? (2021) | news.ycombinator.com | 2021-02-08
Here's the ML stack I have been using for my last project:
- Doing NLP with spaCy (https://spacy.io/) as I consider it to be the most production ready framework for NLP
- Annotating datasets with Prodigy (https://prodi.gy/), a paid tool made by the spaCy team
- Deploying the trained spaCy models onto NLP Cloud (https://nlpcloud.io)
- Use the models through the NLP Cloud API in production and enrich my Django application out of it
Deezer source separation library including pretrained models.Project mention: Weekly Request And General Discussion Thread Week | reddit.com/r/IsolatedVocals | 2021-02-22
spleeter GUI & spleeter cmd line
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.Project mention: How to get my multi-agents more collaborative? | reddit.com/r/reinforcementlearning | 2021-02-15
QMIX is indeed a great paper. I'm planning on using it with RLLIB on my env, however it asks some work to adapt and understand the subtleties ;) ( such as the agents groups : https://github.com/ray-project/ray/blob/936cb5929c455102d5638ff5d59c80c4ae94770f/rllib/env/multi_agent_env.py#L82 )
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）Project mention: Alternatives to google collab? | reddit.com/r/computervision | 2021-01-31
Image-to-Image Translation in PyTorchProject mention: This Wojak Does Not Exist | news.ycombinator.com | 2020-12-31
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in imagesProject mention: “Frameworks” for labeling training data (imagery)? | reddit.com/r/datascience | 2021-01-31
I recently used labelImg. It's free, easy to use and has a simple interface. If you don't want to install nothing you can use VGG Image Annotator because it runs directly in a web browser.
Streamlit — The fastest way to build data apps in PythonProject mention: Which GUI framework do you/would you use for which purposes and why? | reddit.com/r/Python | 2021-02-13
streamlit (Oriented Data science)
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.Project mention: DDP with model parallelism with multi host multi GPU system | reddit.com/r/pytorch | 2021-02-07
Face recognition using TensorflowProject mention: Show HN: CompreFace is a free and open-source face recognition software | news.ycombinator.com | 2021-02-21
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.Project mention: SKLean, TensorFlow, etc vs Spark ML? | reddit.com/r/apachespark | 2021-02-12
I'm the maintainer for an open source project called Horovod that allows you to distribute deep learning training (e.g., TensorFlow) on platforms like Spark.
Decensoring Hentai with Deep Neural NetworksProject mention: You Can Uncensor Any Censored Material, No Matter What It Is | reddit.com/r/godtiersuperpowers | 2021-02-24
Image augmentation for machine learning experiments.Project mention: Bounding boxes do not completely wrap the objects with YOLOv4 | reddit.com/r/deeplearning | 2021-02-06
I would also recommend you to give a try to TensorFlow Object Detection Model - https://github.com/tensorflow/models/tree/master/research/object_detection with augmentation - https://github.com/aleju/imgaug pipeline. The same worked for me in a similar use case where I had to localise logo on documents.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.Project mention: Using Google's OCR API with Puppeteer for Visual Testing | dev.to | 2021-02-08
There are multiple open-source OCR tools like pytesseract or EasyOCR, which can be used to integrate OCR functionality into a program. However, these tools require significant configurations to get up and running to provide results with an acceptable accuracy level.
An open-source NLP research library, built on PyTorch.Project mention: AllenNLP v2.0.0 | news.ycombinator.com | 2021-01-27
Deep learning library featuring a higher-level API for TensorFlow.
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
What are some of the best open-source Deep Learning projects in Python? This list will help you: