IvanIlnytskyi's Stars
etamin-code/se3_equivariant-attention_for_dipoles
twitter/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
evidentlyai/evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
neo4j/neo4j-python-driver
Neo4j Bolt driver for Python
clovaai/CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
okdalto/VisualizeMNIST
This project is real-time visualization of a network recognizing digits from user's input.
KupynOrest/DeblurGAN
Image Deblurring using Generative Adversarial Networks
VITA-Group/DeblurGANv2
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
cs231n/cs231n.github.io
Public facing notes page
google-research/football
Check out the new game server:
warmspringwinds/pytorch-segmentation-detection
Image Segmentation and Object Detection in Pytorch
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
fotisk07/Image-Classifier
Final Project of the Udacity AI Programming with Python Nanodegree
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ccombier/stanford-CS229
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
llSourcell/AI_in_Finance
This is the code for "AI in Finance" By Siraj Raval on Youtube
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
DmitryUlyanov/Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
recommenders-team/recommenders
Best Practices on Recommendation Systems
XUSean0118/DVSNet
Modified implementation for DVSNet based on Tensorflow
phillipi/pix2pix
Image-to-image translation with conditional adversarial nets
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
jfzhang95/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
ContinualAI/colab
Continual Learning tutorials and demo running on Google Colaboratory.