puneethmishra's Stars
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
chrisconlan/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
graph4ai/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
automl/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
skrub-data/skrub
Prepping tables for machine learning
dair-ai/GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
mryab/efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
featurestoreorg/serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
AnacletoLAB/grape
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
carla-recourse/CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
AI4HealthUOL/SSSD
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
dglai/Graph-Neural-Networks-in-Life-Sciences
yasyf/summ
GPT-based Conversation Summarizer
midas-research/sthan-sr-aaai
dsaidgovsg/multimodal-learning-hands-on-tutorial
swsamleo/MLSTGCN
Graph Neural Network
flipz357/S3BERT
Semantically Structured Sentence Embeddings
thanhtrunghuynh93/estimate
g-benton/Volt
Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
cruiseresearchgroup/COCOA
COCOA: Cross Modality Contrastive Learning for Sensor Data
megagonlabs/cocosum
:coconut: Code & Data for Comparative Opinion Summarization via Collaborative Decoding (Iso et al; Findings of ACL 2022)
Quantreo/UDEMY-FOREX-strategies-for-algorithmic-trading-2022
DoganK01/Yolov7-Close-People-Counter
!!!!(DEMO)!!!! !!! CHECK OUT THE NEW VERSİON !!! Counting Close People with Yolov7
ruoqi-liu/LP-SDA
Code and Datasets for paper "Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports"