pdpetrov's Stars
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
google-research/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
sherlock-project/sherlock
Hunt down social media accounts by username across social networks
PWhiddy/PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
chrchang/plink-ng
A comprehensive update to the PLINK association analysis toolset. Beta testing of the first new version (1.90), focused on speed and memory efficiency improvements, is finishing up. Development is now focused on building out support for multiallelic, phased, and dosage data in PLINK 2.0.
genetics-statistics/GEMMA
Genome-wide Efficient Mixed Model Association
HyperdimensionalComputing/collection
Collection of Hyperdimensional Computing Projects
hyperdimensional-computing/torchhd
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Cornell-RelaxML/Hyperdimensional-Computing
Official implementation for the paper "Understanding Hyperdimensional Computing for Parallel Single-Pass Learning"
explodinggradients/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
z-x-yang/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
xtekky/gpt4free
The official gpt4free repository | various collection of powerful language models
RUB-NDS/PRET
Printer Exploitation Toolkit - The tool that made dumpster diving obsolete.
BayesWitnesses/m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Google-Health/genomics-research
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
google-research/vision_transformer
google/deepconsensus
DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.
mathworks/physionet_ECG_data
This repository contains human electrocardiogram data (ECG) data used in Wavelet Toolbox machine and deep learning examples
fbcotter/pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
bulik/ldsc
LD Score Regression (LDSC)
google-deepmind/alphafold
Open source code for AlphaFold.
fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
changkun/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
swethasubramanian/LungCancerDetection
Use CNN to detect nodules in LIDC dataset.
l3p-cv/lost
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
intact-project/ild-cnn
This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network" M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe and S. Mougiakakou, IEEE Transactions on Medical Imaging (2016)
cornelldbgroup/skinnerdb
SkinnerDB is an analytical database management system. It uses adaptive processing and reinforcement learning to find near-optimal join orders.