:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
- deep-learning
- computer-vision
- speech-recognition
- 3d-convolutional-network
Repository Index
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Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
- visualization
- python3
- python
- xgboost
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
Genetic Programming in Python, with a scikit-learn inspired API
- genetic-programming
- machine-learning
- python
- scikit-learn
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
- awesome-list
- binary-analysis
- ghidra
- malware-analysis
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Self-contained Machine Learning and Natural Language Processing library in Go
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Learning eBPF, published by O'Reilly - out now! Here's where you'll find a VM config for the examples, and more
- ebpf
- ebpf-co-re
- linux-kernel
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.
- threat-modeling
- practical-devsecops
- security-review
- devsecops-university
The original code from the DeepMind article + my tweaks
Clean PyTorch implementations of imitation and reward learning algorithms
- reward-learning
- inverse-reinforcement-learning
- imitation-learning
- gymnasium
Interpretability and explainability of data and machine learning models
- explainable-ai
- explainable-ml
- trusted-ai
- trusted-ml
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
An awesome curated list of Cryptoeconomic research and learning materials
- game-theory
- cryptoeconomics
- casper
- blockchain
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
- interview-practice
- interview-test-task
- language-learning
- coding-interview
open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code and logic.
- api-security
- application-security
- kubernetes
- nginx
BirdNET analyzer for scientific audio data processing.
- bioacoustics
- birds
- birdsong
- acoustic-monitoring
Python audio and music signal processing library
- audio-analysis
- signal-processing
- machine-learning
- music-information-retrieval
Go(lang) examples - (explain the basics of #golang)
- golang
- go
- examples
- learning
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Nx-powered Neural Networks
- nx
- elixir
- deep-learning
- neural-networks