{
"username": "nickkipshidze",
"fullname": "Nicolas Kipshidze",
"OS": "Arch Linux btw",
"languages": ["Python", "JavaScript", "TypeScript", "C/C++", "Lua", "x86 Intel Assembly"],
"editors": ["VIM/NeoVim", "VSCode"],
"skills": ["Linux", "Git", "CNNs", "DNNs", "Anaconda", "Jupyter", "Docker", "MySQL", "LaTeX", "PostgreSQL", "Bash", "Fish", "Unity"]
"frameworks": {
"Python": ["PyTorch", "SciKit-Learn", "TensorFlow/Keras", "Django", "DRF", "NumPy", "Pandas", "Matplotlib", "Pyglet", "Tkinter", "PyGame"],
"C/C++": ["Raylib", "OpenGL", "GLFW3", "glad", "Ncurses"],
"CSS": ["Bootstrap", "TailwindCSS"],
"JS/TS": ["NodeJS", "Angular"]
},
"currently_learning": [],
"will_learn": ["ASR", "Kaldi", "Godot", "RNNs", "AI/ML", "PyTorch.cpp", "GANs", "OCR", "LLMs", "NLP"]
}
💻
10x Developer
int puts(const char *); int main() { puts("I am good at code"); return 0; } // Btw this compiles
Pinned Loading
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random-ml-projects
random-ml-projects PublicRandom datasets and Jupyter notebooks. Using SciKit-Learn and PyTorch.
Jupyter Notebook 4
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handwritten-digits-reco
handwritten-digits-reco PublicInteractive handwritten digits live recognizer with Pyglet and PyTorch.
Jupyter Notebook
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handwritten-letters-reco
handwritten-letters-reco PublicA model to recognize all 33 letters in the Georgian alphabet, using PyTorch.
Python
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