NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
Repository Index
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A JavaScript library like PyTorch, with GPU acceleration.
- automatic-differentiation
- deep-learning
- javascript-library
- neural-networks
TranslatedLearning notes and tooling skills for AI video
- ai-video
- claude-skills
- ffmpeg
- shot-analysis
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
Computational framework for reinforcement learning in traffic control
- reinforcement-learning
- traffic-control
- benchmark
- autonomous
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
Official Repository for the Uni-Mol Series Methods
- molecular-modeling
- pre-trained-model
- pretraining
- deep-learning
GPU-Accelerated Deep Learning Library in Python
A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
- vision-and-language
- pretraining
- multimodal-deep-learning
- bert
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
- ai
- machine-learning
- natural-language-understanding
- python
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
- language-modeling
- natural-language-generation
- machine-learning
- deep-learning
PySpark + Scikit-learn = Sparkit-learn
An autoML framework & toolkit for machine learning on graphs.
Neural question generation using transformers
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
- blogs
- businessintelligence
- courses
- data
A lightweight header-only library for using Keras (TensorFlow) models in C++.
A self-hosted, open-source quiz platform for smaller events.
- self-hosted
- learning
- quizz
- game
learn code with tensorflow
- tensorflow-experiments
- gan
- infogan
- deeplearning
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow