ssviridov's Stars
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.
nicolargo/glances
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
plotly/falcon
Free, open-source SQL client for Windows and Mac 🦅
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
tlbootcamp/tlroadmap
Тимлид – это ❄️, потому что в каждой компании он уникален и неповторим.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
colesbury/nogil
Multithreaded Python without the GIL
mithi/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
edgexfoundry/edgex-go
EdgeX Golang Services Monorepo | Owner: Core/Support WG
VROOM-Project/vroom
Vehicle Routing Open-source Optimization Machine
google-research/planet
Learning Latent Dynamics for Planning from Pixels
albanie/convnet-burden
Memory consumption and FLOP count estimates for convnets
marlonbernardes/awesome-berlin
🇩🇪 A guide aiming to help newcomers to have a successful start in Berlin!
fidler-lab/curve-gcn
Official PyTorch code for Curve-GCN (CVPR 2019)
ragulpr/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
iterative/mlem
🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
isayev/ReLeaSE
Deep Reinforcement Learning for de-novo Drug Design
yandexdataschool/AgentNet
Deep Reinforcement Learning library for humans
madrugado/deep-learning-nlp-rl-papers
Recent Deep Learning papers in NLU and RL
jeongyoonlee/data-science-process-management
Resources for Data Science Process management
zyfra/ebonite
machine learning lifecycle framework
kirillbobyrev/computer-science-resources
collection of interesting Computer Science resources
scitime/scitime
Training time estimation for scikit-learn algorithms
jajupmochi/graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
alexeykarnachev/full_stack_transformer
Pytorch library for end-to-end transformer models training, inference and serving
tstandley/image2mass
http://proceedings.mlr.press/v78/standley17a/standley17a.pdf
arsenyinfo/hookandlook
A library helping to gather stats and run checks during training deep learning models with Pytorch
activatedgeek/qmix
rampeer/recommender_test_bench
Recommender system test bench