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minesh1291
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Lists (32)
Analytics Dashboards
18 repositories
Anomaly Detection
2 repositories
Bioinformatics
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Computer Vision
45 repositories
DAI
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Databases
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Deep Signal Modeling
50 repositories
Educational Resources
CS, Math, ML, etc..4 repositories
Embedding - Dimention Reduction
2 repositories
🎮 Games
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GAN
8 repositories
GIT Productivity
13 repositories
Graph DataEngineering&Modeling
10 repositories
IDE & Text Editors
6 repositories
Infra-Utils
3 repositories
Knowledge Management
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Large language models
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LLM
Large Language Model2 repositories
ML Losses
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ML & Web Testing
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Model Training
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Reinforcement Learning
51 repositories
Scientific Computing
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Signal Datasets
4 repositories
Stack for Data Engineering
34 repositories
🚀 Stack for Deep Learning
71 repositories
♾️ Stack for DevOps - MLOps
35 repositories
Stack for game development
5 repositories
Stack for NLP
Stack for Quant
8 repositories
SWE: Load Testing
5 repositories
Utils
2 repositories
Starred repositories
Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.
Multivariate Time Series Transformer, public version
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
A scikit-learn compatible neural network library that wraps PyTorch
Ordinal regression models in PyTorch
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
This repo contains the code for our paper An Image is Worth 32 Tokens for Reconstruction and Generation
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Scikit-learn compatible implementation of the Gauss Rank scaling method
Open source and extensible Platform as a Service (PaaS).
Experimenting with different regression losses. Implemented in Pytorch.
This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE
A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".
Reference models and tools for Cloud TPUs.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
PyTorch implementation of FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
A simple R package for calculating absolute agreement and estimating required sample sizes for studies of absolute agreement
The Implementation of FastSpeech based on pytorch.
Type safe composable application configuration management in Python
Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Rust implementation of Facebook's DataLoader using async-await.
DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and…
Structured state space sequence models