denmoroz's Stars
freqtrade/freqtrade
Free, open source crypto trading bot
daniel-j-h/covid19-at-home
Easily run protein folding computations on GPUs to fight Covid-19
shap/shap
A game theoretic approach to explain the output of any machine learning model.
bukosabino/ta
Technical Analysis Library using Pandas and Numpy
konradhalas/dacite
Simple creation of data classes from dictionaries.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
bguillouet/traj-dist
A python package for computing distance between 2D trajectories.
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
annoviko/pyclustering
pyclustering is a Python, C++ data mining library.
dropbox/PyHive
Python interface to Hive and Presto. 🐝
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
stevearc/pypicloud
S3-backed pypi server implementation
vibora-io/vibora
Fast, asynchronous and elegant Python web framework.
dano/aioprocessing
A Python 3.5+ library that integrates the multiprocessing module with asyncio
uber/mutornadomon
Easy-to-install monitor endpoint for Tornado applications
VertaAI/modeldb
Open Source ML Model Versioning, Metadata, and Experiment Management
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
tensorly/tensorly
TensorLy: Tensor Learning in Python.
jacobgil/pytorch-tensor-decompositions
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
chengshengchan/model_compression
Implementation of model compression with knowledge distilling method.
linksense/LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow
Quantized Neural Networks - networks trained for inference at arbitrary low precision.
titu1994/keras-one-cycle
Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
openalpr/openalpr
Automatic License Plate Recognition library
ZFTurbo/Keras-inference-time-optimizer
Optimize layers structure of Keras model to reduce computation time
dezhin/osmread
Simple library for reading OpenStreetMap XML and PBF data files
UjjwalSaxena/Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.