amurichu's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
python-telegram-bot/python-telegram-bot
We have made you a wrapper you can't refuse
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
argoproj/argo-workflows
Workflow Engine for Kubernetes
optuna/optuna
A hyperparameter optimization framework
nebuly-ai/nebuly
The user analytics platform for LLMs
Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
zvtvz/zvt
modular quant framework.
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
scikit-learn-contrib/category_encoders
A library of sklearn compatible categorical variable encoders
google-research/kubric
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
divamgupta/stable-diffusion-tensorflow
Stable Diffusion in TensorFlow / Keras
NVIDIA-Merlin/dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
neuralmagic/sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
kubeflow/fairing
Python SDK for building, training, and deploying ML models
neuralmagic/sparsify
ML model optimization product to accelerate inference.
Fraunhofer-IMS/AIfES_for_Arduino
This is the Arduino® compatible port of the AIfES machine learning framework, developed and maintained by Fraunhofer Institute for Microelectronic Circuits and Systems.
google-coral/tutorials
Colab/Jupyter tutorials about training TensorFlow models for Edge TPU, and other tutorials
GoogleCloudPlatform/vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
neuralmagic/docs
Top-level directory for documentation and general content
deep-diver/semantic-segmentation-ml-pipeline
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
Snapchat/snapml-templates
apapiu/guided-diffusion-keras
Text to Image Diffusion Models in Keras
fastforwardlabs/structural-time-series
Structural Time Series on US electricity demand data
andrewrreed/deeplearning.ai
These notes were taken from https://github.com/mbadry1/DeepLearning.ai-Summary and augmented with my personal annotations
andrewrreed/data-science-resources
A list of useful blog posts, papers, and websites for all things data science