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scverse/scvi-tools

A Python library for deep probabilistic analysis of single-cell and spatial omics data.

1.6K
Active
Python
Computer Vision
Databases
Python
#single-cell-genomics#variational-autoencoder#deep-learning

andreabergia/rjvm

A learning project to build a tiny JVM in Rust, not directly related to AI coding tools.

1.6K
Archived
Rust
CLI Tools
API Frameworks
#jvm#virtual-machine#rust

mbadry1/CS231n-2017-Summary

A summary of the famous Stanford CS231n deep learning course, focused on helping developers learn and remember the material.

1.6K
Archived
Python
Tutorials & Courses
Computer Vision
#deep-learning#neural-network#computer-vision

csinva/imodels

Interpretable ML package for concise, transparent, and accurate predictive modeling.

1.6K
Stable
Jupyter Notebook
React
#machine-learning#explainable-ai#interpretable-models

samim23/polymath

Converts any music library into a sample-library using machine learning techniques.

1.6K
Archived
Python
ML Ops
API Frameworks
Python
#audio#machine-learning#music

cvg/nice-slam

NICE-SLAM is a neural implicit approach for scalable 3D reconstruction and localization.

1.6K
Archived
Python
Computer Vision
ML Ops
Python
#3d-reconstruction#slam#deep-learning

Kotlin/kotlindl

A high-level deep learning framework written in Kotlin and inspired by Keras.

1.6K
Archived
Kotlin
ML Ops
API Frameworks
Kotlin
#deeplearning#gpu#tensorflow

learning-rust/learning-rust.github.io

A GitHub repository providing tutorials and documentation for learning the Rust programming language.

1.6K
Active
Tutorials & Courses
Backend Frameworks
Rust
#rust#rust-lang#tutorial

OsciiArt/DeepAA

DeepAA is a Python library that uses deep learning to generate ASCII art from images.

1.6K
Archived
Python
Computer Vision
Python
#ascii-art#deep-learning#image-processing

reactplay/react-play

An open-source platform that helps developers learn ReactJS through hands-on practice projects.

1.6K
Stable
JavaScript
Component Libraries (React)
Tutorials & Courses
React
#react#react-hooks#javascript

google/uncertainty-baselines

High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.

1.6K
Active
Python
ML Ops
Fine-tuning
TensorFlow
#bayesian-methods#probabilistic-programming#data-science

BloodAxe/pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle competition tools

1.6K
Stable
Python
Computer Vision
CLI Tools
PyTorch
#deep-learning#image-processing#object-detection

jundongl/scikit-feature

An open-source feature selection repository in Python for machine learning tasks.

1.6K
Archived
Python
ML Ops
Data Processing
Python
#machine-learning#feature-engineering#data-preprocessing

tensorflow/model-optimization

A toolkit to optimize machine learning models for deployment, including quantization and pruning.

1.6K
Active
Python
ML Ops
API Frameworks
TensorFlow
#machine-learning#model-optimization#quantization

sgrvinod/Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.

1.6K
Archived
Learning & Education
Learning & Education
PyTorch
#deep-learning#neural-network#tutorials

HIPS/Spearmint

Spearmint is a Bayesian optimization codebase for AI and machine learning experiments.

1.6K
Archived
Python
Agents & Orchestration
Inference
Python
#bayesian-optimization#hyperparameter-tuning#machine-learning

CarGuo/GSYGithubAppKotlin

A feature-rich open-source Android GitHub client app built with Kotlin, suitable for learning and daily use.

1.6K
Active
Kotlin
Android
Frontend Frameworks
Kotlin
#android#github#kotlin

mytechnotalent/Hacking-Windows

A free Windows C development course that teaches Win32API and reverse engineering using IDA Free.

1.6K
Active
C
Tutorials & Courses
Security Research
#reverse-engineering#ida#win32api

RWKV/rwkv.cpp

An efficient C++ implementation of the RWKV language model for fast CPU inference on various bit-width quantizations.

1.6K
Experimental
C++
LLM Frameworks
Inference
#language-model#llm#quantization

ArztSamuel/Applying_EANNs

This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.

1.6K
Experimental
ASP
Neural Networks
Evolutionary Algorithms
#neural-networks#genetic-algorithm#self-driving
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