mullermuttu's starred repositories
data-science-ipython-notebooks
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.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
data-science-blogs
A curated list of data science blogs
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
imaginaire
NVIDIA's Deep Imagination Team's PyTorch Library
awesome-data-labeling
A curated list of awesome data labeling tools
FinRL-Trading
For trading. Please star.
Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
lightpipes
LightPipes for Python, "Pure Python version"
spectral-workbench
Web-based tools for collecting, analyzing, and sharing data from a DIY spectrometer
awesome-spectra
🌈 A collaborative list of awesome tools for spectroscopy. Also, check:
pybaselines
A Python library of algorithms for the baseline correction of experimental data.
Deep-Chemometrics
Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)
Natural-Language-Processing
Documenting all the concepts and codes learned in NLP
mendel-framework
Dαrwinex Alpha Team's Open Source R&D Pipeline for DARWIN Portfolio Management: The Mendel Framework, in Python 3 (www.darwinex.com)
pyPreprocessing
Especially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other types of data. pyPreprocessing includes baseline correction, smoothing, filtering, normalization and transformation.