nateyoder's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
QuivrHQ/quivr
Opiniated RAG for integrating GenAI in your apps 🧠Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
modularml/mojo
The Mojo Programming Language
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
nytimes/covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
mars-project/mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
neuml/paperai
📄 🤖 Semantic search and workflows for medical/scientific papers
lucidrains/perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
sematic-ai/sematic
An open-source ML pipeline development platform
enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
rsheftel/pandas_market_calendars
Exchange calendars to use with pandas for trading applications
conda/conda-pack
Package conda environments for redistribution
lucidrains/iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
zhengchen1999/DAT
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
konstmish/prodigy
The Prodigy optimizer and its variants for training neural networks.
Nixtla/transfer-learning-time-series
Transfer 🤗 Learning for Time Series Forecasting
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.
Lyonk71/pandas-dedupe
Simplifies use of the Dedupe library via Pandas
tr11/python-configuration
A Python library to load configuration parameters
tingiskhan/pyfilter
Particle filtering and sequential parameter inference in Python
WhistleLabs/FilterNet
Deep learning architecture for computationally efficient activity recognition as described in the paper FilterNet: A many-to-many deep learning architecture for time series classification
ShibalIbrahim/FASTEL
Flexible and Scalable Tree Ensemble Learning
hoedt/upsilonconf
A simple configuration library
tobiaboschi/FASTEN
Functional Adaptive Feature Selection with Elastic-Net penalty