Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
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Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
- pytorch
- speech-processing
- speaker-diarization
- speech-activity-detection
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Data augmentation for NLP
- nlp
- augmentation
- machine-learning
- artificial-intelligence
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
- teaching
- computer-science
- compiler
- emulator
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Agentic LLM CTF to test prompt injection attacks and preventions
Bringing Wardley Map magic to Jupyter notebooks
- wardley-maps
- wardleymaps
- python
- jupyter